[
  {
    "question": "How many singers do we have?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many singers do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of singers?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the total number of singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "Show name, country for all singers ordered by age from the oldest to the youngest.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow name, country for all singers ordered by age from the oldest to the youngest.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  country  FROM singer ORDER BY birthday ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names, countries for every singer in descending order of age?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names, countries for every singer in descending order of age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  country  FROM singer ORDER BY birthday ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average, minimum, and maximum id of all French singers?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average, minimum, and maximum id of all French singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Singer_ID) ,  min(Singer_ID) ,  max(Singer_ID) FROM singer WHERE country  =  'France'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average, minimum, and maximum id for French singers?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average, minimum, and maximum id for French singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Singer_ID) ,  min(Singer_ID) ,  max(Singer_ID) FROM singer WHERE country  =  'France'",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name and the release year of the song by the youngest singer.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the name and the release year of the song by the youngest singer.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT song_name ,  song_release_year FROM singer ORDER BY birthday desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names and release years for all the songs of the youngest singer?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names and release years for all the songs of the youngest singer?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT song_name ,  song_release_year FROM singer ORDER BY birthday desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are all distinct countries where singers born in 2001 are from?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are all distinct countries where singers born in 2001 are from?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT country FROM singer WHERE birthday  like '2001%'",
    "external_knowledge": "None"
  },
  {
    "question": "What are  the different countries with singers born in 2001?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are  the different countries with singers born in 2001?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT country FROM singer WHERE birthday  like  '2001%'",
    "external_knowledge": "None"
  },
  {
    "question": "Show all countries and the number of singers in each country.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all countries and the number of singers in each country.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country ,  count(*) FROM singer GROUP BY country",
    "external_knowledge": "None"
  },
  {
    "question": "How many singers are from each country?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many singers are from each country?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country ,  count(*) FROM singer GROUP BY country",
    "external_knowledge": "None"
  },
  {
    "question": "List all song names by singers above the average age.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList all song names by singers above the average age.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT song_name FROM singer WHERE birthday  <  (SELECT avg(birthday) FROM singer)",
    "external_knowledge": "None"
  },
  {
    "question": "What are all the song names by singers who are older than average?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are all the song names by singers who are older than average?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT song_name FROM singer WHERE birthday  <  (SELECT avg(birthday) FROM singer)",
    "external_knowledge": "None"
  },
  {
    "question": "Show location and name for all stadiums with a capacity between 5000 and 10000.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow location and name for all stadiums with a capacity between 5000 and 10000.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT LOCATION ,  name FROM stadium WHERE capacity BETWEEN 5000 AND 10000",
    "external_knowledge": "None"
  },
  {
    "question": "What are the locations and names of all stations with capacity between 5000 and 10000?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the locations and names of all stations with capacity between 5000 and 10000?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT LOCATION ,  name FROM stadium WHERE capacity BETWEEN 5000 AND 10000",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average and the highest capacity of all stadiums?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average and the highest capacity of all stadiums?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(capacity) ,  max(capacity) FROM stadium",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average and highest capacities for all stations?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average and highest capacities for all stations?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(capacity) ,  max(capacity) FROM stadium",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and capacity for the stadium with highest average attendance?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name and capacity for the stadium with highest average attendance?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  capacity FROM stadium ORDER BY average DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and capacity for the stadium with the highest average attendance?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name and capacity for the stadium with the highest average attendance?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  capacity FROM stadium ORDER BY average DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "How many concerts are there after or in year 2014?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many concerts are there after or in year 2014?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM concert WHERE YEAR  >=  2014",
    "external_knowledge": "None"
  },
  {
    "question": "How many concerts occurred after or in 2014?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many concerts occurred after or in 2014?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM concert WHERE YEAR  >=  2014",
    "external_knowledge": "None"
  },
  {
    "question": "Show the stadium name and the number of concerts in each stadium.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the stadium name and the number of concerts in each stadium.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id GROUP BY T1.stadium_id",
    "external_knowledge": "None"
  },
  {
    "question": "For each stadium, how many concerts play there?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor each stadium, how many concerts play there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id GROUP BY T1.stadium_id",
    "external_knowledge": "None"
  },
  {
    "question": "Show the stadium name and capacity with most number of concerts in year 2014 or after.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the stadium name and capacity with most number of concerts in year 2014 or after.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.year  >=  2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and highest attendance of the stadium  with the most concerts after 2013?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name and highest attendance of the stadium  with the most concerts after 2013?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.year  >=  2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which concert is the oldest?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich concert is the oldest?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT concert_Name FROM concert ORDER BY YEAR asc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the oldest concert name?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the oldest concert name?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT concert_Name FROM concert ORDER BY YEAR asc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the highest attendance without any concert.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the highest attendance without any concert.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT highest FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)",
    "external_knowledge": "None"
  },
  {
    "question": "What are lowest attendance of the stadiums without any concerts?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are lowest attendance of the stadiums without any concerts?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT lowest FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)",
    "external_knowledge": "None"
  },
  {
    "question": "Show countries where a singer born in 1981 or 1991 are from.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow countries where a singer born in 1981 or 1991 are from.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country FROM singer WHERE birthday  like  '1981%' or birthday  like  '1991%'",
    "external_knowledge": "None"
  },
  {
    "question": "Show average attendance for all stadiums except for stadiums having a concert in year 2014.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow average attendance for all stadiums except for stadiums having a concert in year 2014.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT average FROM stadium EXCEPT SELECT T2.average FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.year  =  2014",
    "external_knowledge": "None"
  },
  {
    "question": "What are the lowest attendance of all stadiums that did not have a concert in 2014?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the lowest attendance of all stadiums that did not have a concert in 2014?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT lowest FROM stadium EXCEPT SELECT T2.lowest FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.year  =  2014",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name and theme for all concerts and the number of singers in each concert.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the name and theme for all concerts and the number of singers in each concert.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.concert_name ,  T2.theme ,  count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id  =  T2.concert_id GROUP BY T2.concert_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names, themes, and number of singers for each and every concert?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names, themes, and number of singers for each and every concert?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.concert_name ,  T2.theme ,  count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id  =  T2.concert_id GROUP BY T2.concert_id",
    "external_knowledge": "None"
  },
  {
    "question": "List singer names and number of concerts for each singer.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList singer names and number of concerts for each singer.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id  =  T2.singer_id GROUP BY T2.singer_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers and number of concerts for each person?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the singers and number of concerts for each person?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name ,  count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id  =  T2.singer_id GROUP BY T2.singer_id",
    "external_knowledge": "None"
  },
  {
    "question": "List all singer names in concerts after or in year 2014.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList all singer names in concerts after or in year 2014.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id  =  T2.singer_id JOIN concert AS T3 ON T1.concert_id  =  T3.concert_id WHERE T3.year  >=  2014",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers who performed in a concert before or in 2014?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the singers who performed in a concert before or in 2014?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id  =  T2.singer_id JOIN concert AS T3 ON T1.concert_id  =  T3.concert_id WHERE T3.year  <=  2014",
    "external_knowledge": "None"
  },
  {
    "question": "what is the name and nation of the singer who have a song having 'Hey' in its name?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nwhat is the name and nation of the singer who have a song having 'Hey' in its name?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  country FROM singer WHERE song_name LIKE '%Hey%'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and country of origin of every singer who has a song with the word 'Hey' in its title?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name and country of origin of every singer who has a song with the word 'Hey' in its title?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  country FROM singer WHERE song_name LIKE '%Hey%'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the lowest and highest attendance of the stadiums which some concerts happened in the years of both 2014 and 2015.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the lowest and highest attendance of the stadiums which some concerts happened in the years of both 2014 and 2015.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.lowest ,  T2.highest FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.Year  =  2014 INTERSECT SELECT T2.name ,  T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.Year  =  2015",
    "external_knowledge": "None"
  },
  {
    "question": "What are the lowest and highest attendance of the stadiums that had concerts that occurred in both 2014 and 2015?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the lowest and highest attendance of the stadiums that had concerts that occurred in both 2014 and 2015?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.lowest ,  T2.highest FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.Year  =  2014 INTERSECT SELECT T2.name ,  T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id WHERE T1.Year  =  2015",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of concerts happened in the stadium with the highest capacity.",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of concerts happened in the stadium with the highest capacity.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id ORDER BY T2.Capacity DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the number of concerts that occurred in the stadium with the largest capacity?",
    "schema": "CREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE stadium (\n    Stadium_ID number, -- example: [1, 2]\n    Location text, -- example: ['Raith Rovers', 'Ayr United']\n    Name text, -- example: [\"Stark's Park\", 'Somerset Park']\n    Capacity number, -- example: [10104, 11998]\n    Highest number, -- example: [4812, 2363]\n    Lowest number, -- example: [1294, 1057]\n    Average number, -- example: [2106, 1477]\n    PRIMARY KEY (Stadium_ID)\n);\n\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joe Sharp', 'Timbaland']\n    Country text, -- example: ['Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Birthday number, -- date of birth, example: ['1971-02-09 00:00:00', '1989-02-19 00:00:00']\n    Is_male others, -- example: ['F', 'T']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE concert (\n    concert_ID number, -- example: [1, 2]\n    concert_Name text, -- example: ['Auditions', 'Super bootcamp']\n    Theme text, -- example: ['Free choice', 'Free choice 2']\n    Stadium_ID text, -- example: ['1', '2']\n    `Year` text, -- example: ['2014', '2015']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_concert_stadium_id FOREIGN KEY (Stadium_ID) REFERENCES stadium (Stadium_ID)\n);\n\nCREATE TABLE singer_in_concert (\n    concert_ID number, -- example: [1, 2]\n    Singer_ID text, -- example: ['2', '3']\n    PRIMARY KEY (concert_ID),\n    CONSTRAINT fk_singer_in_concert_concert_id FOREIGN KEY (concert_ID) REFERENCES concert (concert_ID),\n    CONSTRAINT fk_singer_in_concert_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the number of concerts that occurred in the stadium with the largest capacity?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id  =  T2.stadium_id ORDER BY T2.Capacity DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of pets whose weight is heavier than 10.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of pets whose weight is heavier than 10.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM pets WHERE weight  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "How many pets have a greater weight than 10?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many pets have a greater weight than 10?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM pets WHERE weight  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "Find the weight of the youngest dog.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the weight of the youngest dog.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT weight FROM pets ORDER BY birthdate desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "How much does the youngest dog weigh?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow much does the youngest dog weigh?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT weight FROM pets ORDER BY birthdate desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the maximum weight for each type of pet. List the maximum weight and pet type.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the maximum weight for each type of pet. List the maximum weight and pet type.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(weight) ,  petType FROM pets GROUP BY petType",
    "external_knowledge": "None"
  },
  {
    "question": "List the maximum weight and type for each type of pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the maximum weight and type for each type of pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(weight) ,  petType FROM pets GROUP BY petType",
    "external_knowledge": "None"
  },
  {
    "question": "Find number of pets owned by students who are older than 20.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind number of pets owned by students who are older than 20.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid WHERE T1.age  >  20",
    "external_knowledge": "None"
  },
  {
    "question": "How many pets are owned by students that have an age greater than 20?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many pets are owned by students that have an age greater than 20?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid WHERE T1.age  >  20",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of puppy pets that are raised by female students (with sex F).",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of puppy pets that are raised by female students (with sex F).\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T2.petid  =  T3.petid WHERE T1.sex  =  'F' AND T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "How many puppy pets are raised by female students?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many puppy pets are raised by female students?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T2.petid  =  T3.petid WHERE T1.sex  =  'F' AND T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of distinct type of pets.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of distinct type of pets.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT pettype) FROM pets",
    "external_knowledge": "None"
  },
  {
    "question": "How many different types of pet are there?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many different types of pet are there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT pettype) FROM pets",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name of students who have kitten or puppy pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first name of students who have kitten or puppy pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat' OR T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the first names of every student who has a kitten or puppy as a pet?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the first names of every student who has a kitten or puppy as a pet?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat' OR T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of students who have both Kitten and puppy pets.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name of students who have both Kitten and puppy pets.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the students' first names who have both kitten and puppy as pets?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the students' first names who have both kitten and puppy as pets?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'dog'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the major and age of students who do not have a kitten pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the major and age of students who do not have a kitten pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT major ,  age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat')",
    "external_knowledge": "None"
  },
  {
    "question": "What major is every student who does not own a kitten as a pet, and also how old are they?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat major is every student who does not own a kitten as a pet, and also how old are they?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT major ,  age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat')",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id of students who do not have a kitten pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the id of students who do not have a kitten pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids of the students who do not own kittens as pets?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the ids of the students who do not own kittens as pets?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name and age of students who have a dog but do not have a puppy as a pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['dog', 'cat']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first name and age of students who have a dog but do not have a puppy as a pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.fname ,  T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat')",
    "external_knowledge": "None"
  },
  {
    "question": "What is the first name of every student who has a puppy but does not have a kitten?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the first name of every student who has a puppy but does not have a kitten?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.fname ,  T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.pettype  =  'cat')",
    "external_knowledge": "None"
  },
  {
    "question": "Find the type and weight of the youngest pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the type and weight of the youngest pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT pettype ,  weight FROM pets ORDER BY birthdate desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What type of pet is the youngest animal, and how much does it weigh?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat type of pet is the youngest animal, and how much does it weigh?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT pettype ,  weight FROM pets ORDER BY birthdate desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id and weight of all pets older than that born in 2020.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the id and weight of all pets older than that born in 2020.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT petid ,  weight FROM pets WHERE birthdate  <  '2020-01-01'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the id and weight of every pet who is older than that born in 2020?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the id and weight of every pet who is older than that born in 2020?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT petid ,  weight FROM pets WHERE birthdate  <  '2020-05-01'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average and maximum id for each type of pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average and maximum id for each type of pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(PetID) ,  max(PetID) ,  pettype FROM pets GROUP BY pettype",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average and maximum id for each pet type?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average and maximum id for each pet type?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(PetID) ,  max(PetID) ,  pettype FROM pets GROUP BY pettype",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average and maximum id for each pet type.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average and maximum id for each pet type.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(PetID) ,  max(PetID) ,  pettype FROM pets GROUP BY pettype",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average weight for each type of pet?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average weight for each type of pet?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(weight) ,  pettype FROM pets GROUP BY pettype",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and age of students who have a pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name and age of students who have a pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.fname , T1.LName ,  T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different names and ages of the students who do have pets?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the different names and ages of the students who do have pets?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.fname , T1.LName ,  T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id of the pet owned by student whose last name is ‘Smith’.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the id of the pet owned by student whose last name is ‘Smith’.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid WHERE T1.Lname  =  'Smith'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the id of the pet owned by the student whose last name is 'Smith'?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the id of the pet owned by the student whose last name is 'Smith'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid WHERE T1.Lname  =  'Smith'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of pets for each student who has any pet and student id.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of pets for each student who has any pet and student id.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid GROUP BY T1.stuid",
    "external_knowledge": "None"
  },
  {
    "question": "For students who have pets, how many pets does each student have?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor students who have pets, how many pets does each student have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid GROUP BY T1.stuid",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name and gender of student who have more than one pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first name and gender of student who have more than one pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.fname ,  T1.sex FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid GROUP BY T1.stuid HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the first name and gender of the all the students who have more than one pet?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the first name and gender of the all the students who have more than one pet?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.fname ,  T1.sex FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid GROUP BY T1.stuid HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the last name of the student who has a cat that born in 2001.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the last name of the student who has a cat that born in 2001.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.birthdate  like  '2001%' AND T3.pettype  =  'cat'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the last name of the student who has a cat that born in 2001?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the last name of the student who has a cat that born in 2001?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid JOIN pets AS T3 ON T3.petid  =  T2.petid WHERE T3.birthdate  like '2001%' AND T3.pettype  =  'cat'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average age of students who do not have any pet.",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average age of students who do not have any pet.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid)",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average age for all students who do not own any pets?",
    "schema": "CREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Student (\n    StuID number, -- student id, example: [1001, 1002]\n    LName text, -- last name, example: ['Smith', 'Kim']\n    Fname text, -- first name, example: ['Linda', 'Tracy']\n    Age number, -- example: [18, 19]\n    Sex text, -- example: ['F', 'M']\n    Major number, -- example: [600, 520]\n    Advisor number, -- example: [1121, 7712]\n    city_code text, -- example: ['BAL', 'HKG']\n    PRIMARY KEY (StuID)\n);\n\nCREATE TABLE Has_Pet (\n    StuID number, -- student id, example: [1001, 1002]\n    PetID number, -- example: [2001, 2002]\n    CONSTRAINT fk_has_pet_stuid FOREIGN KEY (StuID) REFERENCES Student (StuID),\n    CONSTRAINT fk_has_pet_petid FOREIGN KEY (PetID) REFERENCES Pets (PetID)\n);\n\nCREATE TABLE Pets (\n    PetID number, -- example: [2001, 2002]\n    PetType text, -- example: ['cat', 'dog']\n    birthdate number, -- date of birth, example: ['2018-01-09 00:00:00', '2019-03-09 00:00:00']\n    weight number, -- example: [12.0, 13.4]\n    PRIMARY KEY (PetID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average age for all students who do not own any pets?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid  =  T2.stuid)",
    "external_knowledge": "None"
  },
  {
    "question": "How many continents are there?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many continents are there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CONTINENTS;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of continents?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of continents?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CONTINENTS;",
    "external_knowledge": "None"
  },
  {
    "question": "How many countries does each continent have? List the continent id, continent name and the number of countries.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many countries does each continent have? List the continent id, continent name and the number of countries.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.ContId ,  T1.Continent ,  count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId  =  T2.Continent GROUP BY T1.ContId;",
    "external_knowledge": "None"
  },
  {
    "question": "For each continent, list its id, name, and how many countries it has?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor each continent, list its id, name, and how many countries it has?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.ContId ,  T1.Continent ,  count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId  =  T2.Continent GROUP BY T1.ContId;",
    "external_knowledge": "None"
  },
  {
    "question": "How many countries are listed?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many countries are listed?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM COUNTRIES;",
    "external_knowledge": "None"
  },
  {
    "question": "How many countries exist?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many countries exist?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM COUNTRIES;",
    "external_knowledge": "None"
  },
  {
    "question": "How many models does each car maker produce? List maker full name, id and the number.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many models does each car maker produce? List maker full name, id and the number.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FullName ,  T1.Id ,  count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the full name of each car maker, along with its id and how many models it produces?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the full name of each car maker, along with its id and how many models it produces?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FullName ,  T1.Id ,  count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id;",
    "external_knowledge": "None"
  },
  {
    "question": "Which model of the car has the minimum horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich model of the car has the minimum horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.horsepower ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the model of the car with the smallest amount of horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the model of the car with the smallest amount of horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.horsepower ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "Find the model of the car whose weight is below the average weight.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the model of the car whose weight is below the average weight.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Weight  <  (SELECT avg(Weight) FROM CARS_DATA)",
    "external_knowledge": "None"
  },
  {
    "question": "What is the model for the car with a weight smaller than the average?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the model for the car with a weight smaller than the average?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Weight  <  (SELECT avg(Weight) FROM CARS_DATA)",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of the makers that produced some cars in the past two years?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name of the makers that produced some cars in the past two years?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model JOIN CARS_DATA AS T4 ON T3.MakeId  =  T4.id WHERE T4.year  >=  '2019';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the different car makers who produced a car in the past two years?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the different car makers who produced a car in the past two years?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model JOIN CARS_DATA AS T4 ON T3.MakeId  =  T4.id WHERE T4.year  >=  '2019';",
    "external_knowledge": "None"
  },
  {
    "question": "Find the make and production time of the cars that were produced in the earliest year?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the make and production time of the cars that were produced in the earliest year?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Make ,  T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Year  =  (SELECT min(YEAR) FROM CARS_DATA);",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maker of the carr produced in the earliest year and what year was it?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maker of the carr produced in the earliest year and what year was it?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Make ,  T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Year  =  (SELECT min(YEAR) FROM CARS_DATA);",
    "external_knowledge": "None"
  },
  {
    "question": "Which distinct car models are the produced before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich distinct car models are the produced before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model  =  T2.model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.id WHERE T3.year  <=  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different models for the cards produced before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the different models for the cards produced before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model  =  T2.model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.id WHERE T3.year  <=  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "How many car makers are there in each continents? List the continent name and the count.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many car makers are there in each continents? List the continent name and the count.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Continent ,  count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId  =  T2.continent JOIN car_makers AS T3 ON T2.CountryId  =  T3.Country GROUP BY T1.Continent;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of each continent and how many car makers are there in each one?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of each continent and how many car makers are there in each one?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Continent ,  count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId  =  T2.continent JOIN car_makers AS T3 ON T2.CountryId  =  T3.Country GROUP BY T1.Continent;",
    "external_knowledge": "None"
  },
  {
    "question": "Which of the countries has the most car makers? List the country name.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich of the countries has the most car makers? List the country name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country  =  T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the country with the most car makers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the country with the most car makers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country  =  T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "How many car models are produced by each maker? List the count and the maker full name.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many car models are produced by each maker? List the count and the maker full name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Count(*) ,  T2.FullName ,  T2.id FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker  =  T2.Id GROUP BY T2.id;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of car models that are produced by each maker and what is the id and full name of each maker?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of car models that are produced by each maker and what is the id and full name of each maker?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Count(*) ,  T2.FullName ,  T2.id FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker  =  T2.Id GROUP BY T2.id;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the accelerate of the car make amc hornet sportabout (sw)?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'chevrolet', 'buick']\n    Make text, -- example: ['amc hornet sportabout (sw)', 'amc hornet', 'chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'chevrolet', 'buick']\n    Make text, -- example: ['amc hornet sportabout (sw)', 'amc hornet', 'chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the accelerate of the car make amc hornet sportabout (sw)?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Make  =  'amc hornet sportabout (sw)';",
    "external_knowledge": "None"
  },
  {
    "question": "How much does the car accelerate that makes amc hornet sportabout (sw)?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'chevrolet', 'buick']\n    Make text, -- example: ['amc hornet sportabout (sw)', 'amc hornet', 'chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'chevrolet', 'buick']\n    Make text, -- example: ['amc hornet sportabout (sw)', 'amc hornet', 'chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow much does the car accelerate that makes amc hornet sportabout (sw)?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Make  =  'amc hornet sportabout (sw)';",
    "external_knowledge": "None"
  },
  {
    "question": "How many Japanese car makers are there?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many Japanese car makers are there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country  =  T2.CountryId WHERE T2.CountryName  =  'Japan';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of makers of Japanese care?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of makers of Japanese care?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country  =  T2.CountryId WHERE T2.CountryName  =  'Japan';",
    "external_knowledge": "None"
  },
  {
    "question": "How many car models are produced in the america?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many car models are produced in the america?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker  =  T2.Id JOIN COUNTRIES AS T3 ON T2.Country  =  T3.CountryId WHERE T3.CountryName  =  'usa';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the count of the car models produced in the United States?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the count of the car models produced in the United States?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker  =  T2.Id JOIN COUNTRIES AS T3 ON T2.Country  =  T3.CountryId WHERE T3.CountryName  =  'usa';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average miles per gallon(mpg) of the cars with 4 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average miles per gallon(mpg) of the cars with 4 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders  =  4;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average miles per gallon of all the cards with 4 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average miles per gallon of all the cards with 4 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders  =  4;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the smallest weight of the car produced with 8 cylinders on 1974?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the smallest weight of the car produced with 8 cylinders on 1974?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Weight FROM CARS_DATA WHERE Cylinders  =  4 AND YEAR  =  1974 ORDER BY Weight ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the minimu weight of the car with 8 cylinders produced in 1974?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the minimu weight of the car with 8 cylinders produced in 1974?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Weight FROM CARS_DATA WHERE Cylinders  =  4 AND YEAR  =  1974 ORDER BY Weight ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What are all the makers and models?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are all the makers and models?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Maker ,  Model FROM MODEL_LIST;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the makers and models?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the makers and models?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Maker ,  Model FROM MODEL_LIST;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the countries having at least one car maker? List name and id.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the countries having at least one car maker? List name and id.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.CountryName ,  T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.CountryId HAVING count(*)  >=  1;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names and ids of all countries with at least one car maker?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names and ids of all countries with at least one car maker?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.CountryName ,  T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.CountryId HAVING count(*)  >=  1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of the cars with horsepower more than 150?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of the cars with horsepower more than 150?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE horsepower  >  150;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of cars with a horsepower greater than 150?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of cars with a horsepower greater than 150?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE horsepower  >  150;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average weight of cars each year?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average weight of cars each year?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Weight) ,  YEAR FROM CARS_DATA GROUP BY YEAR;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average weight and year for each year?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average weight and year for each year?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Weight) ,  YEAR FROM CARS_DATA GROUP BY YEAR;",
    "external_knowledge": "None"
  },
  {
    "question": "Which European countries have at least 3 car manufacturers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich European countries have at least 3 car manufacturers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent  =  T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId  =  T3.Country WHERE T2.Continent  =  'europe' GROUP BY T1.CountryName HAVING count(*)  >=  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all European countries with at least 3 manufacturers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of all European countries with at least 3 manufacturers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent  =  T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId  =  T3.Country WHERE T2.Continent  =  'europe' GROUP BY T1.CountryName HAVING count(*)  >=  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maximum horsepower and the make of the car models with 3 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maximum horsepower and the make of the car models with 3 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.horsepower ,  T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.cylinders  =  3 ORDER BY T2.horsepower DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the largest amount of horsepower for the models with 3 cylinders and what make is it?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the largest amount of horsepower for the models with 3 cylinders and what make is it?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.horsepower ,  T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.cylinders  =  3 ORDER BY T2.horsepower DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "Which model saves the most gasoline? That is to say, have the maximum miles per gallon.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich model saves the most gasoline? That is to say, have the maximum miles per gallon.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.mpg DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the car wmodel with the highest mpg?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the car wmodel with the highest mpg?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.mpg DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average horsepower of the cars before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average horsepower of the cars before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR  <=  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average horsepower for all cards produced before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average horsepower for all cards produced before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR  <=  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average edispl of the cars of model tesla?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average edispl of the cars of model tesla?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'tesla';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average edispl for all teslas?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average edispl for all teslas?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'tesla';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maximum accelerate for different number of cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maximum accelerate for different number of cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maximum accelerate for all the different cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maximum accelerate for all the different cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;",
    "external_knowledge": "None"
  },
  {
    "question": "Which model has the most version(make) of cars?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich model has the most version(make) of cars?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What model has the most different versions?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat model has the most different versions?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "How many cars have more than 4 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many cars have more than 4 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of cars with more than 4 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of cars with more than 4 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;",
    "external_knowledge": "None"
  },
  {
    "question": "how many cars were produced in the last two years?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nhow many cars were produced in the last two years?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE YEAR  >=  2019;",
    "external_knowledge": "None"
  },
  {
    "question": "In the last two years, how many cars were made?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nIn the last two years, how many cars were made?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CARS_DATA WHERE YEAR  >=  2019;",
    "external_knowledge": "None"
  },
  {
    "question": "How many car models were produced by American Motor?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many car models were produced by American Motor?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of car models created by American Motor?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of car models created by American Motor?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';",
    "external_knowledge": "None"
  },
  {
    "question": "Which makers designed more than 3 car models? List full name and the id.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich makers designed more than 3 car models? List full name and the id.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names and ids of all makers with more than 3 models?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names and ids of all makers with more than 3 models?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;",
    "external_knowledge": "None"
  },
  {
    "question": "Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['General Motors', 'American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['General Motors', 'American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich distinctive models are produced by maker with the full name General Motors or weighing more than 3500?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different models created by either the car maker General Motors or weighed more than 3500?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['General Motors', 'American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['General Motors', 'American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the different models created by either the car maker General Motors or weighed more than 3500?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;",
    "external_knowledge": "None"
  },
  {
    "question": "In which years cars were produced weighing no less than 3000 and no more than 4000?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nIn which years cars were produced weighing no less than 3000 and no more than 4000?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Year FROM CARS_DATA AS T1 WHERE T1.Weight  >  3000 AND T1.weight  <  4000;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Year FROM CARS_DATA AS T1 WHERE T1.Weight  >  3000 AND T1.weight  <  4000;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the horsepower of the car with the largest accelerate?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the horsepower of the car with the largest accelerate?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the horsepower of the car with the greatest accelerate?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the horsepower of the car with the greatest accelerate?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "For model tesla, how many cylinders does the car with the least accelerate have?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor model tesla, how many cylinders does the car with the least accelerate have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'tesla' ORDER BY T1.accelerate ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "For a tesla model, how many cylinders does the version with least accelerate have?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor a tesla model, how many cylinders does the version with least accelerate have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'tesla' ORDER BY T1.accelerate ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "How many cars have a larger accelerate than the car with the largest horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many cars have a larger accelerate than the car with the largest horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of cars with a greater accelerate than the one with the most horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of cars with a greater accelerate than the one with the most horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );",
    "external_knowledge": "None"
  },
  {
    "question": "How many countries has more than 2 car makers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many countries has more than 2 car makers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM ( SELECT T1.CountryId ,  COUNT(*) FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.CountryId HAVING count(*)  >  2 );",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of countries with more than 2 car makers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of countries with more than 2 car makers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM ( SELECT T1.CountryId ,  COUNT(*) FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.CountryId HAVING count(*)  >  2 );",
    "external_knowledge": "None"
  },
  {
    "question": "How many cars has over 6 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many cars has over 6 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of carsw ith over 6 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the number of carsw ith over 6 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;",
    "external_knowledge": "None"
  },
  {
    "question": "For the cars with 4 cylinders, which model has the largest horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor the cars with 4 cylinders, which model has the largest horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "For all of the 4 cylinder cars, which model has the most horsepower?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor all of the 4 cylinder cars, which model has the most horsepower?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nAmong the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.MakeId ,  T2.Make FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Horsepower  >  (SELECT min(Horsepower) FROM CARS_DATA) AND T1.Cylinders  <=  3;",
    "external_knowledge": "None"
  },
  {
    "question": "Among the cars that do not have the minimum horsepower, what are the make ids and names of al those with less than 4 cylinders?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nAmong the cars that do not have the minimum horsepower, what are the make ids and names of al those with less than 4 cylinders?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.MakeId ,  T2.Make FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Horsepower  >  (SELECT min(Horsepower) FROM CARS_DATA) AND T1.Cylinders  <=  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maximum miles per gallon of the car with 8 cylinders or produced before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maximum miles per gallon of the car with 8 cylinders or produced before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT mpg FROM CARS_DATA WHERE Cylinders  =  8 OR YEAR  <=  1980 ORDER BY mpg DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the maximum mpg of the cars that had 8 cylinders or that were produced before or in 1980?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the maximum mpg of the cars that had 8 cylinders or that were produced before or in 1980?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT mpg FROM CARS_DATA WHERE Cylinders  =  8 OR YEAR  <=  1980 ORDER BY mpg DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "Which models are lighter than 3500 but not built by the 'Ford Motor'?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['ford', 'amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['ford', 'amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich models are lighter than 3500 but not built by the 'Ford Motor'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different models wthat are lighter than 3500 but were not built by the Ford Motor?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['ford', 'amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['ford', 'amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['ford', 'chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the different models wthat are lighter than 3500 but were not built by the Ford Motor?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';",
    "external_knowledge": "None"
  },
  {
    "question": "What are the name of the countries where there is not a single car maker?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the name of the countries where there is not a single car maker?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the countries with no car makers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the countries with no car makers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;",
    "external_knowledge": "None"
  },
  {
    "question": "Which are the car makers which produce at least 2 models and more than 3 car makes? List the id and the maker.",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich are the car makers which produce at least 2 models and more than 3 car makes? List the id and the maker.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >=  2 INTERSECT SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model GROUP BY T1.Id HAVING count(*)  >  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >=  2 INTERSECT SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model GROUP BY T1.Id HAVING count(*)  >  3;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the id and names of the countries which have more than 3 car makers or produce the 'tesla' model?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the id and names of the countries which have more than 3 car makers or produce the 'tesla' model?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.countryId HAVING count(*)  >  3 UNION SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country JOIN MODEL_LIST AS T3 ON T2.Id  =  T3.Maker WHERE T3.Model  =  'tesla';",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids and names of all countries that either have more than 3 car makers or produce teslas?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['america', 'europe']\n    PRIMARY KEY (ContId)\n);\n\nCREATE TABLE countries (\n    CountryId number, -- example: [1, 2]\n    CountryName text, -- example: ['usa', 'germany']\n    Continent number, -- example: [1, 2]\n    PRIMARY KEY (CountryId),\n    CONSTRAINT fk_countries_continent FOREIGN KEY (Continent) REFERENCES continents (ContId)\n);\n\nCREATE TABLE car_makers (\n    Id number, -- example: [1, 2]\n    Maker text, -- example: ['amc', 'volkswagen']\n    FullName text, -- example: ['American Motor Company', 'Volkswagen']\n    Country text, -- example: ['1', '2']\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_car_makers_country FOREIGN KEY (Country) REFERENCES countries (CountryId)\n);\n\nCREATE TABLE model_list (\n    ModelId number, -- example: [1, 2]\n    Maker number, -- example: [1, 2]\n    Model text, -- example: ['amc', 'audi']\n    PRIMARY KEY (ModelId),\n    CONSTRAINT fk_model_list_maker FOREIGN KEY (Maker) REFERENCES car_makers (Id)\n);\n\nCREATE TABLE car_names (\n    MakeId number, -- example: [1, 2]\n    Model text, -- example: ['chevrolet', 'buick']\n    Make text, -- example: ['chevrolet chevelle malibu', 'buick skylark 320']\n    PRIMARY KEY (MakeId),\n    CONSTRAINT fk_car_names_model FOREIGN KEY (Model) REFERENCES model_list (Model)\n);\n\nCREATE TABLE cars_data (\n    Id number, -- example: [1, 2]\n    MPG text, -- example: ['18', '15']\n    Cylinders number, -- example: [8, 4]\n    Edispl number, -- example: [307.0, 350.0]\n    Horsepower text, -- example: ['130', '165']\n    Weight number, -- example: [3504, 3693]\n    Accelerate number, -- example: [12.0, 11.5]\n    `Year` number, -- example: [1970, 1971]\n    PRIMARY KEY (Id),\n    CONSTRAINT fk_cars_data_id FOREIGN KEY (Id) REFERENCES car_names (MakeId)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the ids and names of all countries that either have more than 3 car makers or produce teslas?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.countryId HAVING count(*)  >  3 UNION SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country JOIN MODEL_LIST AS T3 ON T2.Id  =  T3.Maker WHERE T3.Model  =  'tesla';",
    "external_knowledge": "None"
  },
  {
    "question": "Which country does Airline \"JetBlue\" belong to?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich country does Airline \"JetBlue\" belong to?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Country FROM AIRLINES WHERE Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "What country is Jetblue affiliated with?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat country is Jetblue affiliated with?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Country FROM AIRLINES WHERE Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the abbreviation of Airline \"JetBlue\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the abbreviation of Airline \"JetBlue\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Abbreviation FROM AIRLINES WHERE Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which abbreviation corresponds to JetBlue?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich abbreviation corresponds to JetBlue?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Abbreviation FROM AIRLINES WHERE Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "List all american airline names and their abbreviations.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['American Airlines', 'United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['American', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['American Airlines', 'United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['American', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList all american airline names and their abbreviations.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  \"USA\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are american airline names and abbreviations for airlines?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['American Airlines', 'United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['American', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['American Airlines', 'United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['American', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are american airline names and abbreviations for airlines?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  \"USA\"",
    "external_knowledge": "None"
  },
  {
    "question": "List the airport code and name in Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the airport code and name in Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the airport code and airport name corresonding to the Syracuse.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the airport code and airport name corresonding to the Syracuse.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  \"Syracuse\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many airlines do we have?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many airlines do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of airlines?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the total number of airlines?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES",
    "external_knowledge": "None"
  },
  {
    "question": "How many airports do we have?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many airports do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRPORTS",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of  airports.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of  airports.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRPORTS",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights do we have?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of flights.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS",
    "external_knowledge": "None"
  },
  {
    "question": "Which airline has abbreviation 'UAL'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airline has abbreviation 'UAL'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Airline FROM AIRLINES WHERE Abbreviation  =  \"UAL\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the airline with abbreviation 'UAL'.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the airline with abbreviation 'UAL'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Airline FROM AIRLINES WHERE Abbreviation  =  \"UAL\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many airlines are from America?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many airlines are from America?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES WHERE Country  =  \"USA\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of airlines in the America.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of airlines in the America.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES WHERE Country  =  \"USA\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which city and country is the Alton airport at?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Alton ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Alton ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Alton ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Alton ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich city and country is the Alton airport at?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT City ,  Country FROM AIRPORTS WHERE AirportName  =  \"Alton\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the city and country for the Alton airport.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Alton ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Alton ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Alton ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Alton ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the city and country for the Alton airport.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT City ,  Country FROM AIRPORTS WHERE AirportName  =  \"Alton\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the airport name for airport 'AKO'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AKO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AKO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the airport name for airport 'AKO'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM AIRPORTS WHERE AirportCode  =  \"AKO\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the name of the airport with code 'AKO'.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AKO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AKO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the name of the airport with code 'AKO'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM AIRPORTS WHERE AirportCode  =  \"AKO\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are airport names at 'Jackson'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are airport names at 'Jackson'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM AIRPORTS WHERE City = \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of airports in Jackson?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of airports in Jackson?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM AIRPORTS WHERE City = \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights depart from 'APG'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights depart from 'APG'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS WHERE SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of flights departing from 'APG'.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of flights departing from 'APG'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS WHERE SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights have destination ATO?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ATO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ATO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ATO', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ATO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ATO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ATO', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights have destination ATO?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS WHERE DestAirport  =  \"ATO\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of flights into ATO.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ATO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ATO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ATO', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ATO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ATO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ATO', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of flights into ATO.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS WHERE DestAirport  =  \"ATO\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights depart from Jackson?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights depart from Jackson?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport  =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of flights departing from Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of flights departing from Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport  =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights arriving in Jackson city?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights arriving in Jackson city?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of flights arriving in Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of flights arriving in Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights depart from City 'Syracuse' and have destination City 'Ashley'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Ashley ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Ashley ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Ashley ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Ashley ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights depart from City 'Syracuse' and have destination City 'Ashley'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport  =  T3.AirportCode WHERE T2.City  =  \"Ashley\" AND T3.City  =  \"Syracuse\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights fly from Syracuse to Ashley?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Ashley ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Ashley ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Ashley ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Ashley ', 'Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights fly from Syracuse to Ashley?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport  =  T3.AirportCode WHERE T2.City  =  \"Ashley\" AND T3.City  =  \"Syracuse\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights does airline 'JetBlue' have?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights does airline 'JetBlue' have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline  =  T2.uid WHERE T2.Airline = \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the number of Jetblue flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the number of Jetblue flights.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline  =  T2.uid WHERE T2.Airline = \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many 'JetBlue' flights go to Airport 'ASY'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ASY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ASY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many 'JetBlue' flights go to Airport 'ASY'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline  =  T1.uid WHERE T1.Airline  =  \"JetBlue Airways\" AND T2.DestAirport  =  \"ASY\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of JetBlue flights arriving in ASY Airport.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ASY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ASY', ' APG']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ASY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ASY', ' APG']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of JetBlue flights arriving in ASY Airport.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline  =  T1.uid WHERE T1.Airline  =  \"JetBlue Airways\" AND T2.DestAirport  =  \"ASY\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many 'JetBlue' flights depart from Airport 'AHD'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many 'JetBlue' flights depart from Airport 'AHD'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline  =  T1.uid WHERE T1.Airline  =  \"JetBlue Airways\" AND T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of JetBlue flights leaving from AHD Airport.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the number of JetBlue flights leaving from AHD Airport.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline  =  T1.uid WHERE T1.Airline  =  \"JetBlue Airways\" AND T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many JetBlue flights go to City 'Aberdeen'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many JetBlue flights go to City 'Aberdeen'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid  =  T1.Airline WHERE T2.City  =  \"Aberdeen\" AND T3.Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of JetBlue flights that arrive in Aberdeen.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of JetBlue flights that arrive in Aberdeen.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport  =  T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid  =  T1.Airline WHERE T2.City  =  \"Aberdeen\" AND T3.Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which city has most number of arriving flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich city has most number of arriving flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which city has the most frequent destination airport?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich city has the most frequent destination airport?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which city has most number of departing flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich city has most number of departing flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.SourceAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which city is the most frequent source airport?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich city is the most frequent source airport?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.SourceAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the code of airport that has the highest number of flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the code of airport that has the highest number of flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport OR T1.AirportCode  =  T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the airport code of the airport with the most flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the airport code of the airport with the most flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport OR T1.AirportCode  =  T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the code of airport that has fewest number of flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the code of airport that has fewest number of flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport OR T1.AirportCode  =  T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Give the code of the airport with the least flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the code of the airport with the least flights.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode  =  T2.DestAirport OR T1.AirportCode  =  T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which airline has most number of flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airline has most number of flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What airline serves the most flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat airline serves the most flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the abbreviation and country of the airline that has fewest number of flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the abbreviation and country of the airline that has fewest number of flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Abbreviation ,  T1.Country FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline ORDER BY count(*) LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the abbreviation of the airilne has the fewest flights and what country is it in?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the abbreviation of the airilne has the fewest flights and what country is it in?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Abbreviation ,  T1.Country FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline ORDER BY count(*) LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are airlines that have some flight departing from airport 'AHD'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are airlines that have some flight departing from airport 'AHD'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have a flight with source airport AHD?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have a flight with source airport AHD?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are airlines that have flights arriving at airport 'AHD'?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are airlines that have flights arriving at airport 'AHD'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.DestAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have a flight with destination airport AHD?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AHD', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' AHD', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AHD', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have a flight with destination airport AHD?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.DestAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find all airlines that have flights from both airports 'APG' and 'CVO'.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['CVO', 'APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['CVO', 'APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind all airlines that have flights from both airports 'APG' and 'CVO'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"APG\" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"CVO\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have departing flights from both APG and CVO airports?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['CVO', 'APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' CVO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' CVO', ' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['CVO', 'APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' CVO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' CVO', ' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have departing flights from both APG and CVO airports?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"APG\" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"CVO\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find all airlines that have flights from airport 'CVO' but not from 'APG'.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'CVO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'CVO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind all airlines that have flights from airport 'CVO' but not from 'APG'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"CVO\" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have departures from CVO but not from APG airports?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'CVO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' CVO', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' CVO', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'CVO', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' CVO', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' CVO', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have departures from CVO but not from APG airports?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"CVO\" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline WHERE T2.SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find all airlines that have at least 10 flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind all airlines that have at least 10 flights.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline HAVING count(*)  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have at least 10 flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have at least 10 flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline HAVING count(*)  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "Find all airlines that have fewer than 200 flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind all airlines that have fewer than 200 flights.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline HAVING count(*)  <  200",
    "external_knowledge": "None"
  },
  {
    "question": "Which airlines have less than 200 flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airlines have less than 200 flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid  =  T2.Airline GROUP BY T1.Airline HAVING count(*)  <  200",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers belonging to \"JetBlue\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are flight numbers belonging to \"JetBlue\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid  =  T1.Airline WHERE T2.Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which flight numbers correspond to JetBlue flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['JetBlue', 'UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich flight numbers correspond to JetBlue flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid  =  T1.Airline WHERE T2.Airline  =  \"JetBlue Airways\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers of flights departing from Airport \"APG\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are flight numbers of flights departing from Airport \"APG\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT FlightNo FROM FLIGHTS WHERE SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights leaving from APG.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the flight numbers of flights leaving from APG.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT FlightNo FROM FLIGHTS WHERE SourceAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers of flights arriving at Airport \"APG\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are flight numbers of flights arriving at Airport \"APG\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT FlightNo FROM FLIGHTS WHERE DestAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights landing at APG.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['APG', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' APG', ' ASY']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the flight numbers of flights landing at APG.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT FlightNo FROM FLIGHTS WHERE DestAirport  =  \"APG\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers of flights departing from \"Jackson\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are flight numbers of flights departing from \"Jackson\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport   =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights leaving from Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the flight numbers of flights leaving from Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport   =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers of flights arriving at \"Jackson\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are flight numbers of flights arriving at \"Jackson\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport   =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights arriving in Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive the flight numbers of flights arriving in Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport   =  T2.AirportCode WHERE T2.City  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of flights landing in the  Syracuse or Jackson.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of flights landing in the  Syracuse or Jackson.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport  =  T2.AirportCode WHERE T2.city  =  \"Syracuse\" OR T2.city  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights land in Syracuse or Jackson?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many flights land in Syracuse or Jackson?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport  =  T2.AirportCode WHERE T2.city  =  \"Syracuse\" OR T2.city  =  \"Jackson\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of airports which do not have any flight in and out.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ANY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ANY', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ANY', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['ANY', 'AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' ANY', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ANY', ' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name of airports which do not have any flight in and out.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights)",
    "external_knowledge": "None"
  },
  {
    "question": "Which airports do not have departing or arriving flights?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['United Airlines', 'US Airways']\n    Abbreviation text, -- example: ['UAL', 'USAir']\n    Country text, -- example: ['USA']\n    PRIMARY KEY (uid)\n);\n\nCREATE TABLE airports (\n    City text, -- example: ['Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Phillips AAF ', 'Municipal ']\n    Country text, -- example: ['United States ']\n    CountryAbbrev text, -- example: ['US ', 'US']\n    PRIMARY KEY (AirportCode)\n);\n\nCREATE TABLE flights (\n    Airline number, -- example: [1, 2]\n    FlightNo number, -- flight number, example: [28, 29]\n    SourceAirport text, -- example: [' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' ASY', ' APG']\n    PRIMARY KEY (Airline),\n    CONSTRAINT fk_flights_sourceairport FOREIGN KEY (SourceAirport) REFERENCES airports (AirportCode),\n    CONSTRAINT fk_flights_destairport FOREIGN KEY (DestAirport) REFERENCES airports (AirportCode)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich airports do not have departing or arriving flights?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights)",
    "external_knowledge": "None"
  },
  {
    "question": "How many documents do we have?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many documents do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of documents.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of documents.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "List document IDs with its names and descriptions.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList document IDs with its names and descriptions.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_id ,  document_name ,  document_description FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "Show all the ids with its names and descriptions for all documents?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all the ids with its names and descriptions for all documents?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_id ,  document_name ,  document_description FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name with template id of documents with description with the letter 'w' in it?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['w', 'n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['w', 'n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the name with template id of documents with description with the letter 'w' in it?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_name ,  template_id FROM Documents WHERE Document_Description LIKE \"%w%\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names with document and template ids for documents that contain the letter w in their description.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['w', 'n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['w', 'n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the names with document and template ids for documents that contain the letter w in their description.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_name , Document_ID, template_id FROM Documents WHERE Document_Description LIKE \"%w%\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the description for document named \"Robbin CV\" with its document and template id?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Robbin CV', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Robbin CV', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the description for document named \"Robbin CV\" with its document and template id?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_id ,  template_id ,  Document_Description FROM Documents WHERE document_name  =  \"Robbin CV\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the description with document and template id of the document with the name Robbin CV.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Robbin CV', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Robbin CV', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the description with document and template id of the document with the name Robbin CV.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT document_id ,  template_id ,  Document_Description FROM Documents WHERE document_name  =  \"Robbin CV\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many different templates do all document use?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many different templates do all document use?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT template_id) FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of different templates used for documents.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of different templates used for documents.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT template_id) FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "How many documents are using the PPT template?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many documents are using the PPT template?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Documents AS T1 JOIN Templates AS T2 ON T1.Template_ID  =  T2.Template_ID WHERE T2.Template_Type_Code  =  'PPT'",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of documents that use the PPT template type.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of documents that use the PPT template type.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Documents AS T1 JOIN Templates AS T2 ON T1.Template_ID  =  T2.Template_ID WHERE T2.Template_Type_Code  =  'PPT'",
    "external_knowledge": "None"
  },
  {
    "question": "Show all template ids and the number of documents using each template.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all template ids and the number of documents using each template.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id ,  count(*) FROM Documents GROUP BY template_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are all different template ids used for documents, and how many times were each of them used?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are all different template ids used for documents, and how many times were each of them used?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id ,  count(*) FROM Documents GROUP BY template_id",
    "external_knowledge": "None"
  },
  {
    "question": "What is the effective date period for the template used by the most documents?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the effective date period for the template used by the most documents?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Date_Effective_From ,  T2.Date_Effective_To FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date range of the template that is used for the greatest number of documents.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date range of the template that is used for the greatest number of documents.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Date_Effective_From ,  T2.Date_Effective_To FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show ids for all templates that are used by more than one document.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow ids for all templates that are used by more than one document.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id FROM Documents GROUP BY template_id HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the template ids of any templates used in more than a single document?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the template ids of any templates used in more than a single document?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id FROM Documents GROUP BY template_id HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Show ids for all templates not used by any document.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow ids for all templates not used by any document.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id FROM Templates EXCEPT SELECT template_id FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids for templates that are not used in any documents?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the ids for templates that are not used in any documents?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_id FROM Templates EXCEPT SELECT template_id FROM Documents",
    "external_knowledge": "None"
  },
  {
    "question": "How many templates do we have?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many templates do we have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of templates.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of templates.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "Show effective date period, and template type codes for all templates.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow effective date period, and template type codes for all templates.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  template_type_code FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date period, and type codes for each template?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date period, and type codes for each template?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  template_type_code FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "Show all effective date period for all templates.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all effective date period for all templates.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date range from to?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date range from to?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date range with template type code PP or PPT?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date range with template type code PP or PPT?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates WHERE template_type_code  =  \"PP\" OR template_type_code  =  \"PPT\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date range that have the code PP or PPT.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PPT', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date range that have the code PP or PPT.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates WHERE template_type_code  =  \"PP\" OR template_type_code  =  \"PPT\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give me the effective date period whose template type code is CV?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me the effective date period whose template type code is CV?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates WHERE template_type_code  =  \"CV\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date period of the template type CV.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['CV', 'AD', 'BK']\n    Template_Type_Description text, -- example: ['CV', 'Presentation']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['CV', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date period of the template type CV.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates WHERE template_type_code  =  \"CV\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the effective date period and template type code for the template with version number later than 5?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the effective date period and template type code for the template with version number later than 5?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  template_type_code FROM Templates WHERE version_number  >  5",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date period and template type codes of templates with a version number greater than 5.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date period and template type codes of templates with a version number greater than 5.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  template_type_code FROM Templates WHERE version_number  >  5",
    "external_knowledge": "None"
  },
  {
    "question": "Show all effective date period and number of templates for each.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all effective date period and number of templates for each.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  count(*) FROM Templates GROUP BY template_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date period, and how many templates correspond to each?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date period, and how many templates correspond to each?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To ,  count(*) FROM Templates GROUP BY template_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "Which effective date period has most number of templates?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich effective date period has most number of templates?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates GROUP BY template_type_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date period that the most templates belong to.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date period that the most templates belong to.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates GROUP BY template_type_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show all effective date period with less than three templates.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all effective date period with less than three templates.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates GROUP BY template_type_code HAVING count(*)  <  3",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date period that have fewer than 3 templates?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date period that have fewer than 3 templates?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates GROUP BY template_type_code HAVING count(*)  <  3",
    "external_knowledge": "None"
  },
  {
    "question": "What the smallest version number and its effective date date from and to?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat the smallest version number and its effective date date from and to?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT min(Version_Number) ,  Date_Effective_From ,  Date_Effective_To FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "Return the lowest version number, along with its corresponding effective date date from and to.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the lowest version number, along with its corresponding effective date date from and to.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT min(Version_Number) ,  Date_Effective_From ,  Date_Effective_To FROM Templates",
    "external_knowledge": "None"
  },
  {
    "question": "What is the effective date range of the template used by document with the name \"Data base\"?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Data base', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Data base', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the effective date range of the template used by document with the name \"Data base\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id WHERE T2.document_name  =  \"Data base\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date range of the template that is used by a document named Data base.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Data base', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Data base', 'Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date range of the template that is used by a document named Data base.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id WHERE T2.document_name  =  \"Data base\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show all document names along with document and template id using templates with template type code BK.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['BK', 'AD']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['BK', 'PP']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['BK', 'AD']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['BK', 'PP']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all document names along with document and template id using templates with template type code BK.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.document_name, T2.Document_ID, T2.template_id FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id WHERE T1.template_type_code  =  \"BK\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of documents with document and template id that use templates with the code BK?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['BK', 'AD']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['BK', 'PP']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['BK', 'AD']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['BK', 'PP']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the names of documents with document and template id that use templates with the code BK?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.document_name, T2.Document_ID, T2.template_id FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id WHERE T1.template_type_code  =  \"BK\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show all effective date from and to, and the number of documents using each type.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all effective date from and to, and the number of documents using each type.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To ,  count(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "What are effective date from and to, and how many documents use each type?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are effective date from and to, and how many documents use each type?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To ,  count(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "Which effective date period is used by most number of documents?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich effective date period is used by most number of documents?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_type_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date period that is most commonly used in documents.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date period that is most commonly used in documents.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Date_Effective_From ,  T1.Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id GROUP BY T1.template_type_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show all effective date from and to that are not used by any document.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all effective date from and to that are not used by any document.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates EXCEPT SELECT Date_Effective_From ,  Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date from and to that are not used for any document?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date from and to that are not used for any document?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Date_Effective_From ,  Date_Effective_To FROM Templates EXCEPT SELECT Date_Effective_From ,  Date_Effective_To FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id  =  T2.template_id",
    "external_knowledge": "None"
  },
  {
    "question": "Show all template type codes and descriptions.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow all template type codes and descriptions.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_code ,  template_type_description FROM Ref_template_types",
    "external_knowledge": "None"
  },
  {
    "question": "What are the type codes and descriptions for all template types?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the type codes and descriptions for all template types?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_code ,  template_type_description FROM Ref_template_types",
    "external_knowledge": "None"
  },
  {
    "question": "What is the template type descriptions for template type code \"AD\".",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['AD', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['AD', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the template type descriptions for template type code \"AD\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_description FROM Ref_template_types WHERE template_type_code  =  \"AD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the template type description of the template type with the code AD.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['AD', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['AD', 'PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the template type description of the template type with the code AD.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_description FROM Ref_template_types WHERE template_type_code  =  \"AD\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the template type code for template type description \"Book\".",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Book', 'Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Book', 'Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the template type code for template type description \"Book\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_code FROM Ref_template_types WHERE template_type_description  =  \"Book\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the type code of the template type with the description \"Book\".",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Book', 'Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Book', 'Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the type code of the template type with the description \"Book\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT template_type_code FROM Ref_template_types WHERE template_type_description  =  \"Book\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the distinct template type descriptions for the templates ever used by any document?",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the distinct template type descriptions for the templates ever used by any document?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.template_type_description FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code  = T2.template_type_code JOIN Documents AS T3 ON T2.Template_ID  =  T3.template_ID",
    "external_knowledge": "None"
  },
  {
    "question": "Return the different descriptions for templates that have been used in a document.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the different descriptions for templates that have been used in a document.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.template_type_description FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code  = T2.template_type_code JOIN Documents AS T3 ON T2.Template_ID  =  T3.template_ID",
    "external_knowledge": "None"
  },
  {
    "question": "What are the effective date range from to with template type description \"Presentation\".",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the effective date range from to with template type description \"Presentation\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Date_Effective_From ,  T2.Date_Effective_To FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code  = T2.template_type_code WHERE T1.template_type_description  =  \"Presentation\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the effective date period corresponding to templates with the description 'Presentation'.",
    "schema": "CREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Ref_Template_Types (\n    Template_Type_Code text, -- example: ['AD', 'BK']\n    Template_Type_Description text, -- example: ['Presentation', 'CV']\n    PRIMARY KEY (Template_Type_Code)\n);\n\nCREATE TABLE Templates (\n    Template_ID number, -- example: [0, 1]\n    Version_Number number, -- example: [5, 9]\n    Template_Type_Code text, -- example: ['PP', 'BK']\n    Date_Effective_From time, -- example: ['2005-11-12 07:09:48', '2010-09-24 01:15:11']\n    Date_Effective_To time, -- example: ['2008-01-05 14:19:28', '1999-07-08 03:31:04']\n    Template_Details text,\n    PRIMARY KEY (Template_ID),\n    CONSTRAINT fk_templates_template_type_code FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)\n);\n\nCREATE TABLE Documents (\n    Document_ID number, -- example: [0, 1]\n    Template_ID number, -- example: [7, 25]\n    Document_Name text, -- example: ['Introduction of OS', 'Understanding DB']\n    Document_Description text, -- example: ['n', 'y']\n    Other_Details text,\n    PRIMARY KEY (Document_ID),\n    CONSTRAINT fk_documents_template_id FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)\n);\n\nCREATE TABLE Paragraphs (\n    Paragraph_ID number, -- example: [7, 9]\n    Document_ID number, -- example: [2394, 3]\n    Paragraph_Text text, -- example: ['Korea', 'Somalia']\n    Other_Details text,\n    PRIMARY KEY (Paragraph_ID),\n    CONSTRAINT fk_paragraphs_document_id FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the effective date period corresponding to templates with the description 'Presentation'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T2.Date_Effective_From ,  T2.Date_Effective_To FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code  = T2.template_type_code WHERE T1.template_type_description  =  \"Presentation\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find both player names in each match.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind both player names in each match.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Give me both player names in each match?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me both player names in each match?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Find both player ages in each match.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind both player ages in each match.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_age, loser_age FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Give me both player ages in each match.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me both player ages in each match.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_age, loser_age FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "List the first name and birth date of all American players.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the first name and birth date of all American players.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  birth_date FROM players WHERE country_code  =  'USA'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the first names and birth dates of American players?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the first names and birth dates of American players?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  birth_date FROM players WHERE country_code  =  'USA'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average loser and winner age of all matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average loser and winner age of all matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(loser_age) ,  avg(winner_age) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "What are the average loser and winner ages across matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the average loser and winner ages across matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(loser_age) ,  avg(winner_age) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Find their all average rank including winner and loser in each matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind their all average rank including winner and loser in each matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(winner_rank), avg(loser_rank) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average rank for all players including winner and loser in all matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average rank for all players including winner and loser in all matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(winner_rank), avg(loser_rank) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Find the highest rank of all players including winner and loser in all matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the highest rank of all players including winner and loser in all matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT min(winner_rank), min(loser_rank) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "What is the best rank of all players including winner and loser across all matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the best rank of all players including winner and loser across all matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT min(winner_rank), min(loser_rank) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "find the number of distinct country codes of all players.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nfind the number of distinct country codes of all players.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT country_code) FROM players",
    "external_knowledge": "None"
  },
  {
    "question": "How many distinct countries do players come from?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many distinct countries do players come from?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT country_code) FROM players",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of distinct name of losers.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of distinct name of losers.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT loser_name) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "How many different loser names are there?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many different loser names are there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT loser_name) FROM matches",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of tourney that has more than 10 matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name of tourney that has more than 10 matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*)  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of tournaments that have more than 10 matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of tournaments that have more than 10 matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*)  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of all match players including winner and loser who played in both 2013 and 2016.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the names of all match players including winner and loser who played in both 2013 and 2016.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2013 INTERSECT SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all match players including winner and loser who played in both 2013 and 2016?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of all match players including winner and loser who played in both 2013 and 2016?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2013 INTERSECT SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "List the all player name in each matche who played in years of 2013 or 2016.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the all player name in each matche who played in years of 2013 or 2016.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2013 OR YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "Including winner and loser, Give me all player name of each matche in 2013 or 2016 year?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nIncluding winner and loser, Give me all player name of each matche in 2013 or 2016 year?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE YEAR  =  2013 OR YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "What are the country code and first name of the players who won in both tourney WTA Championships and Australian Open?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Australian Open', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Australian Open', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the country code and first name of the players who won in both tourney WTA Championships and Australian Open?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id WHERE T2.tourney_name  =  'WTA Championships' INTERSECT SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id WHERE T2.tourney_name  =  'Australian Open'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the first names and country codes for players who won both the WTA Championships and the Australian Open?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Australian Open', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Australian Open', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the first names and country codes for players who won both the WTA Championships and the Australian Open?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id WHERE T2.tourney_name  =  'WTA Championships' INTERSECT SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id WHERE T2.tourney_name  =  'Australian Open'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name and country code of the oldest player.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first name and country code of the oldest player.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  country_code FROM players ORDER BY birth_date LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the first name and country code of the oldest player?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the first name and country code of the oldest player?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  country_code FROM players ORDER BY birth_date LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "List the first and last name of all players order of their birth date from old to young.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Young', 'Date', 'Last', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Young', 'Date', 'Last', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the first and last name of all players order of their birth date from old to young.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  last_name FROM players ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "What are the full names of all players, sorted from oldest to youngest?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the full names of all players, sorted from oldest to youngest?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  last_name FROM players ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "List the first and last name of all players who are left / L hand in the order of their date of birth from the oldest to the youngest.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['L', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Last', 'Hingis', 'Lucic']\n    hand text, -- example: ['L', 'R']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['L', 'R']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['L', 'R']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['L', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Last', 'Hingis', 'Lucic']\n    hand text, -- example: ['L', 'R']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['L', 'R']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['L', 'R']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the first and last name of all players who are left / L hand in the order of their date of birth from the oldest to the youngest.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  last_name FROM players WHERE hand  =  'L' ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "What are the name of all left handed players, in order of date of birth from the young to the old?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Young', 'Hande', 'Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Young', 'Hande', 'Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the name of all left handed players, in order of date of birth from the young to the old?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name ,  last_name FROM players WHERE hand  =  'L' ORDER BY birth_date desc",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name and country code of the player who did the most number of tours.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first name and country code of the player who did the most number of tours.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id ORDER BY T2.tours DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the first name and country code of the player with the most tours?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the first name and country code of the player with the most tours?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.country_code ,  T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id ORDER BY T2.tours DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the year that has the most number of matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the year that has the most number of matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT YEAR FROM matches GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which year had the most matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich year had the most matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT YEAR FROM matches GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and rank points of the player who won the most times.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Cho Won', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name and rank points of the player who won the most times.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_name ,  winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the player who has won the most matches, and how many rank points does this player have?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Won', 'Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the player who has won the most matches, and how many rank points does this player have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_name ,  winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find all match player name including winner and loser where the winner has the highest rank points and participated in the Australian Open tourney.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['Australian Open', 'WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['Australian Open', 'WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind all match player name including winner and loser where the winner has the highest rank points and participated in the Australian Open tourney.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE tourney_name  =  'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the match player names including winner and loser where the winner had the most rank points and participated in the Australian Open tournament?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['Australian Open', 'WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['Australian Open', 'WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the match player names including winner and loser where the winner had the most rank points and participated in the Australian Open tournament?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT loser_name, winner_name FROM matches WHERE tourney_name  =  'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Including winner and loser, find all the player names in each match with greatest number of minutes.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nIncluding winner and loser, find all the player names in each match with greatest number of minutes.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_name ,  loser_name FROM matches ORDER BY minutes DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "In each match, what are the winner with loser names who played in the longest match?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nIn each match, what are the winner with loser names who played in the longest match?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT winner_name ,  loser_name FROM matches ORDER BY minutes DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average ranking for each player and their first name.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average ranking for each player and their first name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(ranking) ,  T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.first_name",
    "external_knowledge": "None"
  },
  {
    "question": "What are the first names of all players, and their average rankings?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the first names of all players, and their average rankings?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(ranking) ,  T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.first_name",
    "external_knowledge": "None"
  },
  {
    "question": "Find the total ranking points for each player and their name.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the total ranking points for each player and their name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT sum(ranking_points) ,  T1.first_name, T1.last_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.first_name",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all players, and their total ranking points?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of all players, and their total ranking points?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT sum(ranking_points) ,  T1.first_name, T1.last_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id  =  T2.player_id GROUP BY T1.first_name",
    "external_knowledge": "None"
  },
  {
    "question": "find the number of players for each country.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nfind the number of players for each country.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  country_code FROM players GROUP BY country_code",
    "external_knowledge": "None"
  },
  {
    "question": "How many players are from each country?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many players are from each country?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  country_code FROM players GROUP BY country_code",
    "external_knowledge": "None"
  },
  {
    "question": "find the code of the country where has the greatest number of players.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nfind the code of the country where has the greatest number of players.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the code of the country with the most players?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the code of the country with the most players?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the codes of countries that have more than 50 players.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the codes of countries that have more than 50 players.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country_code FROM players GROUP BY country_code HAVING count(*)  >  50",
    "external_knowledge": "None"
  },
  {
    "question": "What are the codes of countries with more than 50 players?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the codes of countries with more than 50 players?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT country_code FROM players GROUP BY country_code HAVING count(*)  >  50",
    "external_knowledge": "None"
  },
  {
    "question": "Find the total number of tours for each ranking date.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the total number of tours for each ranking date.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT sum(tours) ,  ranking_date FROM rankings GROUP BY ranking_date",
    "external_knowledge": "None"
  },
  {
    "question": "How many total tours were there for each ranking date?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Tour', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many total tours were there for each ranking date?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT sum(tours) ,  ranking_date FROM rankings GROUP BY ranking_date",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of matches happened in each year.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of matches happened in each year.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  YEAR FROM matches GROUP BY YEAR",
    "external_knowledge": "None"
  },
  {
    "question": "How many matches were played in each year?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many matches were played in each year?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  YEAR FROM matches GROUP BY YEAR",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and rank of the 3 youngest winners across all matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name and rank of the 3 youngest winners across all matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT winner_name ,  winner_rank FROM matches ORDER BY winner_age LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names and ranks of the three youngest winners across all matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names and ranks of the three youngest winners across all matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT winner_name ,  winner_rank FROM matches ORDER BY winner_age LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "How many different winners both participated in the WTA Championships and were left handed?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Hande', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Hande', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many different winners both participated in the WTA Championships and were left handed?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name  =  'WTA Championships' AND winner_hand  =  'L'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of left handed winners who participated in the WTA Championships.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Hande', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Hande', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of left handed winners who participated in the WTA Championships.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name  =  'WTA Championships' AND winner_hand  =  'L'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and birth date of the winner who has the highest rank points in all matches.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Ha', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name and birth date of the winner who has the highest rank points in all matches.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name ,  T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and birth date of the player with the most winner rank points across all matches?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Date', 'Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name and birth date of the player with the most winner rank points across all matches?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name  ,  T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id  =  T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of players for each hand type.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of players for each hand type.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  hand FROM players GROUP BY hand",
    "external_knowledge": "None"
  },
  {
    "question": "How many players are there for each hand type?",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['Hingis', 'Lucic']\n    hand text, -- example: ['R', 'L']\n    birth_date time, -- example: [19800930, 19820309]\n    country_code text, -- example: ['SUI', 'CRO']\n    PRIMARY KEY (player_id)\n);\n\nCREATE TABLE matches (\n    best_of number, -- example: [3]\n    draw_size number, -- example: [4, 32]\n    loser_age number, -- example: [24.626967830300003, 23.6221765914]\n    loser_entry text,\n    loser_hand text, -- example: ['R', 'L']\n    loser_ht number, -- example: [170, 183]\n    loser_id number, -- example: [201474, 201520]\n    loser_ioc text, -- example: ['POL', 'CZE']\n    loser_name text, -- example: ['Agnieszka Radwanska', 'Petra Kvitova']\n    loser_rank number, -- example: [4, 6]\n    loser_rank_points number, -- example: [5890, 4370]\n    loser_seed number, -- example: [3, 5]\n    match_num number, -- example: [297, 296]\n    minutes number, -- example: [82, 72]\n    round text, -- example: ['RR', 'SF']\n    score text, -- example: ['6-2 6-4', '6-2 6-3']\n    surface text, -- example: ['Hard', 'Clay']\n    tourney_date time, -- example: [20131021, 20160104]\n    tourney_id text, -- example: ['2013-W-WT-TUR-01A-2013', '2016-1049']\n    tourney_level text, -- example: ['W', 'I']\n    tourney_name text, -- example: ['WTA Championships', 'Auckland']\n    winner_age number, -- example: [32.0684462697, 23.6221765914]\n    winner_entry text,\n    winner_hand text, -- example: ['R', 'L']\n    winner_ht number, -- example: [175, 183]\n    winner_id number, -- example: [200033, 201520]\n    winner_ioc text, -- example: ['USA', 'CZE']\n    winner_name text, -- example: ['Serena Williams', 'Petra Kvitova']\n    winner_rank number, -- example: [1, 6]\n    winner_rank_points number, -- example: [12040, 4370]\n    winner_seed number, -- example: [1, 5]\n    `year` number, -- example: [2013, 2016]\n    CONSTRAINT fk_matches_loser_id FOREIGN KEY (loser_id) REFERENCES players (player_id),\n    CONSTRAINT fk_matches_winner_id FOREIGN KEY (winner_id) REFERENCES players (player_id)\n);\n\nCREATE TABLE rankings (\n    ranking_date time, -- example: [20000101, 20000103]\n    ranking number, -- example: [3, 4]\n    player_id number, -- example: [200748, 200033]\n    ranking_points number, -- example: [4378, 3021]\n    tours number, -- example: [13, 15]\n    CONSTRAINT fk_rankings_player_id FOREIGN KEY (player_id) REFERENCES players (player_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many players are there for each hand type?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) ,  hand FROM players GROUP BY hand",
    "external_knowledge": "None"
  },
  {
    "question": "what are all the addresse lines?",
    "schema": "CREATE TABLE Addresses (\n    address_id number, -- example: [1, 2]\n    line_1 text, -- example: ['2294 Grant Square Apt. 235', '3999 Aufderhar Ways Suite 593']\n    line_2 text, -- example: ['Apt. 370', 'Apt. 388']\n    line_3 text,\n    city text, -- example: ['Port Chelsea', 'Lake Laishafurt']\n    zip_postcode text, -- example: ['148', '943']\n    state_province_county text, -- example: ['Virginia', 'Kentucky']\n    country text, -- example: ['Iceland', 'Burundi']\n    other_address_details text,\n    PRIMARY KEY (address_id)\n);\n\nCREATE TABLE Courses (\n    course_id number, -- example: [1, 2]\n    course_name text, -- example: ['ds', 'math']\n    course_description text, -- example: ['p', 'q']\n    other_details text,\n    PRIMARY KEY (course_id)\n);\n\nCREATE TABLE Departments (\n    department_id number, -- example: [1, 2]\n    department_name text, -- example: ['computer science', 'history']\n    department_description text, -- example: ['error', 'nostrum']\n    other_details text,\n    PRIMARY KEY (department_id)\n);\n\nCREATE TABLE Degree_Programs (\n    degree_program_id number, -- example: [1, 2]\n    department_id number, -- example: [13, 2]\n    degree_summary_name text, -- example: ['Master', 'Bachelor']\n    degree_summary_description text, -- example: ['architecto', 'cumque']\n    other_details text,\n    PRIMARY KEY (degree_program_id),\n    CONSTRAINT fk_degree_programs_department_id FOREIGN KEY (department_id) REFERENCES Departments (department_id)\n);\n\nCREATE TABLE Sections (\n    section_id number, -- example: [1, 2]\n    course_id number, -- example: [9, 2]\n    section_name text, -- example: ['a', 'b']\n    section_description text, -- example: ['non', 'voluptatem']\n    other_details text,\n    PRIMARY KEY (section_id),\n    CONSTRAINT fk_sections_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id)\n);\n\nCREATE TABLE Semesters (\n    semester_id number, -- example: [1, 2]\n    semester_name text, -- example: ['spring 2010', 'summer 2010']\n    semester_description text, -- example: ['x', 'g']\n    other_details text,\n    PRIMARY KEY (semester_id)\n);\n\nCREATE TABLE Students (\n    student_id number, -- example: [1, 2]\n    current_address_id number, -- example: [10, 12]\n    permanent_address_id number, -- example: [15, 5]\n    first_name text, -- example: ['Timmothy', 'Hobart']\n    middle_name text, -- example: ['Anna', 'Lorenz']\n    last_name text, -- example: ['Ward', 'Balistreri']\n    cell_mobile_number text, -- example: ['(096)889-8954x524', '1-009-710-5151']\n    email_address text, -- example: ['erwin.zboncak@example.com', 'swift.kolby@example.com']\n    ssn text, -- example: ['965', '304246']\n    date_first_registered time, -- example: ['1971-02-05 07:28:23', '1976-10-26 02:33:06']\n    date_left time, -- example: ['1971-05-17 19:28:49', '2013-10-05 17:41:28']\n    other_student_details text, -- example: ['quia', 'autem']\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_students_current_address_id FOREIGN KEY (current_address_id) REFERENCES Addresses (address_id),\n    CONSTRAINT fk_students_permanent_address_id FOREIGN KEY (permanent_address_id) REFERENCES Addresses (address_id)\n);\n\nCREATE TABLE Student_Enrolment (\n    student_enrolment_id number, -- example: [1, 2]\n    degree_program_id number, -- example: [12, 4]\n    semester_id number, -- example: [13, 2]\n    student_id number, -- example: [14, 9]\n    other_details text,\n    PRIMARY KEY (student_enrolment_id),\n    CONSTRAINT fk_student_enrolment_degree_program_id FOREIGN KEY (degree_program_id) REFERENCES Degree_Programs (degree_program_id),\n    CONSTRAINT fk_student_enrolment_semester_id FOREIGN KEY (semester_id) REFERENCES Semesters (semester_id),\n    CONSTRAINT fk_student_enrolment_student_id FOREIGN KEY (student_id) REFERENCES Students (student_id)\n);\n\nCREATE TABLE Student_Enrolment_Courses (\n    student_course_id number, -- example: [0, 1]\n    course_id number, -- example: [6, 14]\n    student_enrolment_id number, -- example: [2, 8]\n    PRIMARY KEY (student_course_id),\n    CONSTRAINT fk_student_enrolment_courses_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id),\n    CONSTRAINT fk_student_enrolment_courses_student_enrolment_id FOREIGN KEY (student_enrolment_id) REFERENCES Student_Enrolment (student_enrolment_id)\n);\n\nCREATE TABLE Transcripts (\n    transcript_id number, -- example: [1, 2]\n    transcript_date time, -- example: ['1988-04-30 01:19:47', '1975-10-28 15:16:51']\n    other_details text,\n    PRIMARY KEY (transcript_id)\n);\n\nCREATE TABLE Transcript_Contents (\n    student_course_id number, -- example: [0, 96]\n    transcript_id number, -- example: [2, 8]\n    CONSTRAINT fk_transcript_contents_student_course_id FOREIGN KEY (student_course_id) REFERENCES Student_Enrolment_Courses (student_course_id),\n    CONSTRAINT fk_transcript_contents_transcript_id FOREIGN KEY (transcript_id) REFERENCES Transcripts (transcript_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Addresses (\n    address_id number, -- example: [1, 2]\n    line_1 text, -- example: ['2294 Grant Square Apt. 235', '3999 Aufderhar Ways Suite 593']\n    line_2 text, -- example: ['Apt. 370', 'Apt. 388']\n    line_3 text,\n    city text, -- example: ['Port Chelsea', 'Lake Laishafurt']\n    zip_postcode text, -- example: ['148', '943']\n    state_province_county text, -- example: ['Virginia', 'Kentucky']\n    country text, -- example: ['Iceland', 'Burundi']\n    other_address_details text,\n    PRIMARY KEY (address_id)\n);\n\nCREATE TABLE Courses (\n    course_id number, -- example: [1, 2]\n    course_name text, -- example: ['ds', 'math']\n    course_description text, -- example: ['p', 'q']\n    other_details text,\n    PRIMARY KEY (course_id)\n);\n\nCREATE TABLE Departments (\n    department_id number, -- example: [1, 2]\n    department_name text, -- example: ['computer science', 'history']\n    department_description text, -- example: ['error', 'nostrum']\n    other_details text,\n    PRIMARY KEY (department_id)\n);\n\nCREATE TABLE Degree_Programs (\n    degree_program_id number, -- example: [1, 2]\n    department_id number, -- example: [13, 2]\n    degree_summary_name text, -- example: ['Master', 'Bachelor']\n    degree_summary_description text, -- example: ['architecto', 'cumque']\n    other_details text,\n    PRIMARY KEY (degree_program_id),\n    CONSTRAINT fk_degree_programs_department_id FOREIGN KEY (department_id) REFERENCES Departments (department_id)\n);\n\nCREATE TABLE Sections (\n    section_id number, -- example: [1, 2]\n    course_id number, -- example: [9, 2]\n    section_name text, -- example: ['a', 'b']\n    section_description text, -- example: ['non', 'voluptatem']\n    other_details text,\n    PRIMARY KEY (section_id),\n    CONSTRAINT fk_sections_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id)\n);\n\nCREATE TABLE Semesters (\n    semester_id number, -- example: [1, 2]\n    semester_name text, -- example: ['spring 2010', 'summer 2010']\n    semester_description text, -- example: ['x', 'g']\n    other_details text,\n    PRIMARY KEY (semester_id)\n);\n\nCREATE TABLE Students (\n    student_id number, -- example: [1, 2]\n    current_address_id number, -- example: [10, 12]\n    permanent_address_id number, -- example: [15, 5]\n    first_name text, -- example: ['Timmothy', 'Hobart']\n    middle_name text, -- example: ['Anna', 'Lorenz']\n    last_name text, -- example: ['Ward', 'Balistreri']\n    cell_mobile_number text, -- example: ['(096)889-8954x524', '1-009-710-5151']\n    email_address text, -- example: ['erwin.zboncak@example.com', 'swift.kolby@example.com']\n    ssn text, -- example: ['965', '304246']\n    date_first_registered time, -- example: ['1971-02-05 07:28:23', '1976-10-26 02:33:06']\n    date_left time, -- example: ['1971-05-17 19:28:49', '2013-10-05 17:41:28']\n    other_student_details text, -- example: ['quia', 'autem']\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_students_current_address_id FOREIGN KEY (current_address_id) REFERENCES Addresses (address_id),\n    CONSTRAINT fk_students_permanent_address_id FOREIGN KEY (permanent_address_id) REFERENCES Addresses (address_id)\n);\n\nCREATE TABLE Student_Enrolment (\n    student_enrolment_id number, -- example: [1, 2]\n    degree_program_id number, -- example: [12, 4]\n    semester_id number, -- example: [13, 2]\n    student_id number, -- example: [14, 9]\n    other_details text,\n    PRIMARY KEY (student_enrolment_id),\n    CONSTRAINT fk_student_enrolment_degree_program_id FOREIGN KEY (degree_program_id) REFERENCES Degree_Programs (degree_program_id),\n    CONSTRAINT fk_student_enrolment_semester_id FOREIGN KEY (semester_id) REFERENCES Semesters (semester_id),\n    CONSTRAINT fk_student_enrolment_student_id FOREIGN KEY (student_id) REFERENCES Students (student_id)\n);\n\nCREATE TABLE Student_Enrolment_Courses (\n    student_course_id number, -- example: [0, 1]\n    course_id number, -- example: [6, 14]\n    student_enrolment_id number, -- example: [2, 8]\n    PRIMARY KEY (student_course_id),\n    CONSTRAINT fk_student_enrolment_courses_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id),\n    CONSTRAINT fk_student_enrolment_courses_student_enrolment_id FOREIGN KEY (student_enrolment_id) REFERENCES Student_Enrolment (student_enrolment_id)\n);\n\nCREATE TABLE Transcripts (\n    transcript_id number, -- example: [1, 2]\n    transcript_date time, -- example: ['1988-04-30 01:19:47', '1975-10-28 15:16:51']\n    other_details text,\n    PRIMARY KEY (transcript_id)\n);\n\nCREATE TABLE Transcript_Contents (\n    student_course_id number, -- example: [0, 96]\n    transcript_id number, -- example: [2, 8]\n    CONSTRAINT fk_transcript_contents_student_course_id FOREIGN KEY (student_course_id) REFERENCES Student_Enrolment_Courses (student_course_id),\n    CONSTRAINT fk_transcript_contents_transcript_id FOREIGN KEY (transcript_id) REFERENCES Transcripts (transcript_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nwhat are all the addresse lines?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT line_1 ,  line_2, line_3 FROM addresses",
    "external_knowledge": "None"
  },
  {
    "question": "Give me the three addresse lines?",
    "schema": "CREATE TABLE Addresses (\n    address_id number, -- example: [1, 2]\n    line_1 text, -- example: ['2294 Grant Square Apt. 235', '3999 Aufderhar Ways Suite 593']\n    line_2 text, -- example: ['Apt. 370', 'Apt. 388']\n    line_3 text,\n    city text, -- example: ['Port Chelsea', 'Lake Laishafurt']\n    zip_postcode text, -- example: ['148', '943']\n    state_province_county text, -- example: ['Virginia', 'Kentucky']\n    country text, -- example: ['Iceland', 'Burundi']\n    other_address_details text,\n    PRIMARY KEY (address_id)\n);\n\nCREATE TABLE Courses (\n    course_id number, -- example: [1, 2]\n    course_name text, -- example: ['ds', 'math']\n    course_description text, -- example: ['p', 'q']\n    other_details text,\n    PRIMARY KEY (course_id)\n);\n\nCREATE TABLE Departments (\n    department_id number, -- example: [1, 2]\n    department_name text, -- example: ['computer science', 'history']\n    department_description text, -- example: ['error', 'nostrum']\n    other_details text,\n    PRIMARY KEY (department_id)\n);\n\nCREATE TABLE Degree_Programs (\n    degree_program_id number, -- example: [1, 2]\n    department_id number, -- example: [13, 2]\n    degree_summary_name text, -- example: ['Master', 'Bachelor']\n    degree_summary_description text, -- example: ['architecto', 'cumque']\n    other_details text,\n    PRIMARY KEY (degree_program_id),\n    CONSTRAINT fk_degree_programs_department_id FOREIGN KEY (department_id) REFERENCES Departments (department_id)\n);\n\nCREATE TABLE Sections (\n    section_id number, -- example: [1, 2]\n    course_id number, -- example: [9, 2]\n    section_name text, -- example: ['a', 'b']\n    section_description text, -- example: ['non', 'voluptatem']\n    other_details text,\n    PRIMARY KEY (section_id),\n    CONSTRAINT fk_sections_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id)\n);\n\nCREATE TABLE Semesters (\n    semester_id number, -- example: [1, 2]\n    semester_name text, -- example: ['spring 2010', 'summer 2010']\n    semester_description text, -- example: ['x', 'g']\n    other_details text,\n    PRIMARY KEY (semester_id)\n);\n\nCREATE TABLE Students (\n    student_id number, -- example: [1, 2]\n    current_address_id number, -- example: [10, 12]\n    permanent_address_id number, -- example: [15, 5]\n    first_name text, -- example: ['Timmothy', 'Hobart']\n    middle_name text, -- example: ['Anna', 'Lorenz']\n    last_name text, -- example: ['Ward', 'Balistreri']\n    cell_mobile_number text, -- example: ['(096)889-8954x524', '1-009-710-5151']\n    email_address text, -- example: ['erwin.zboncak@example.com', 'swift.kolby@example.com']\n    ssn text, -- example: ['965', '304246']\n    date_first_registered time, -- example: ['1971-02-05 07:28:23', '1976-10-26 02:33:06']\n    date_left time, -- example: ['1971-05-17 19:28:49', '2013-10-05 17:41:28']\n    other_student_details text, -- example: ['quia', 'autem']\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_students_current_address_id FOREIGN KEY (current_address_id) REFERENCES Addresses (address_id),\n    CONSTRAINT fk_students_permanent_address_id FOREIGN KEY (permanent_address_id) REFERENCES Addresses (address_id)\n);\n\nCREATE TABLE Student_Enrolment (\n    student_enrolment_id number, -- example: [1, 2]\n    degree_program_id number, -- example: [12, 4]\n    semester_id number, -- example: [13, 2]\n    student_id number, -- example: [14, 9]\n    other_details text,\n    PRIMARY KEY (student_enrolment_id),\n    CONSTRAINT fk_student_enrolment_degree_program_id FOREIGN KEY (degree_program_id) REFERENCES Degree_Programs (degree_program_id),\n    CONSTRAINT fk_student_enrolment_semester_id FOREIGN KEY (semester_id) REFERENCES Semesters (semester_id),\n    CONSTRAINT fk_student_enrolment_student_id FOREIGN KEY (student_id) REFERENCES Students (student_id)\n);\n\nCREATE TABLE Student_Enrolment_Courses (\n    student_course_id number, -- example: [0, 1]\n    course_id number, -- example: [6, 14]\n    student_enrolment_id number, -- example: [2, 8]\n    PRIMARY KEY (student_course_id),\n    CONSTRAINT fk_student_enrolment_courses_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id),\n    CONSTRAINT fk_student_enrolment_courses_student_enrolment_id FOREIGN KEY (student_enrolment_id) REFERENCES Student_Enrolment (student_enrolment_id)\n);\n\nCREATE TABLE Transcripts (\n    transcript_id number, -- example: [1, 2]\n    transcript_date time, -- example: ['1988-04-30 01:19:47', '1975-10-28 15:16:51']\n    other_details text,\n    PRIMARY KEY (transcript_id)\n);\n\nCREATE TABLE Transcript_Contents (\n    student_course_id number, -- example: [0, 96]\n    transcript_id number, -- example: [2, 8]\n    CONSTRAINT fk_transcript_contents_student_course_id FOREIGN KEY (student_course_id) REFERENCES Student_Enrolment_Courses (student_course_id),\n    CONSTRAINT fk_transcript_contents_transcript_id FOREIGN KEY (transcript_id) REFERENCES Transcripts (transcript_id)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Addresses (\n    address_id number, -- example: [1, 2]\n    line_1 text, -- example: ['2294 Grant Square Apt. 235', '3999 Aufderhar Ways Suite 593']\n    line_2 text, -- example: ['Apt. 370', 'Apt. 388']\n    line_3 text,\n    city text, -- example: ['Port Chelsea', 'Lake Laishafurt']\n    zip_postcode text, -- example: ['148', '943']\n    state_province_county text, -- example: ['Virginia', 'Kentucky']\n    country text, -- example: ['Iceland', 'Burundi']\n    other_address_details text,\n    PRIMARY KEY (address_id)\n);\n\nCREATE TABLE Courses (\n    course_id number, -- example: [1, 2]\n    course_name text, -- example: ['ds', 'math']\n    course_description text, -- example: ['p', 'q']\n    other_details text,\n    PRIMARY KEY (course_id)\n);\n\nCREATE TABLE Departments (\n    department_id number, -- example: [1, 2]\n    department_name text, -- example: ['computer science', 'history']\n    department_description text, -- example: ['error', 'nostrum']\n    other_details text,\n    PRIMARY KEY (department_id)\n);\n\nCREATE TABLE Degree_Programs (\n    degree_program_id number, -- example: [1, 2]\n    department_id number, -- example: [13, 2]\n    degree_summary_name text, -- example: ['Master', 'Bachelor']\n    degree_summary_description text, -- example: ['architecto', 'cumque']\n    other_details text,\n    PRIMARY KEY (degree_program_id),\n    CONSTRAINT fk_degree_programs_department_id FOREIGN KEY (department_id) REFERENCES Departments (department_id)\n);\n\nCREATE TABLE Sections (\n    section_id number, -- example: [1, 2]\n    course_id number, -- example: [9, 2]\n    section_name text, -- example: ['a', 'b']\n    section_description text, -- example: ['non', 'voluptatem']\n    other_details text,\n    PRIMARY KEY (section_id),\n    CONSTRAINT fk_sections_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id)\n);\n\nCREATE TABLE Semesters (\n    semester_id number, -- example: [1, 2]\n    semester_name text, -- example: ['spring 2010', 'summer 2010']\n    semester_description text, -- example: ['x', 'g']\n    other_details text,\n    PRIMARY KEY (semester_id)\n);\n\nCREATE TABLE Students (\n    student_id number, -- example: [1, 2]\n    current_address_id number, -- example: [10, 12]\n    permanent_address_id number, -- example: [15, 5]\n    first_name text, -- example: ['Timmothy', 'Hobart']\n    middle_name text, -- example: ['Anna', 'Lorenz']\n    last_name text, -- example: ['Ward', 'Balistreri']\n    cell_mobile_number text, -- example: ['(096)889-8954x524', '1-009-710-5151']\n    email_address text, -- example: ['erwin.zboncak@example.com', 'swift.kolby@example.com']\n    ssn text, -- example: ['965', '304246']\n    date_first_registered time, -- example: ['1971-02-05 07:28:23', '1976-10-26 02:33:06']\n    date_left time, -- example: ['1971-05-17 19:28:49', '2013-10-05 17:41:28']\n    other_student_details text, -- example: ['quia', 'autem']\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_students_current_address_id FOREIGN KEY (current_address_id) REFERENCES Addresses (address_id),\n    CONSTRAINT fk_students_permanent_address_id FOREIGN KEY (permanent_address_id) REFERENCES Addresses (address_id)\n);\n\nCREATE TABLE Student_Enrolment (\n    student_enrolment_id number, -- example: [1, 2]\n    degree_program_id number, -- example: [12, 4]\n    semester_id number, -- example: [13, 2]\n    student_id number, -- example: [14, 9]\n    other_details text,\n    PRIMARY KEY (student_enrolment_id),\n    CONSTRAINT fk_student_enrolment_degree_program_id FOREIGN KEY (degree_program_id) REFERENCES Degree_Programs (degree_program_id),\n    CONSTRAINT fk_student_enrolment_semester_id FOREIGN KEY (semester_id) REFERENCES Semesters (semester_id),\n    CONSTRAINT fk_student_enrolment_student_id FOREIGN KEY (student_id) REFERENCES Students (student_id)\n);\n\nCREATE TABLE Student_Enrolment_Courses (\n    student_course_id number, -- example: [0, 1]\n    course_id number, -- example: [6, 14]\n    student_enrolment_id number, -- example: [2, 8]\n    PRIMARY KEY (student_course_id),\n    CONSTRAINT fk_student_enrolment_courses_course_id FOREIGN KEY (course_id) REFERENCES Courses (course_id),\n    CONSTRAINT fk_student_enrolment_courses_student_enrolment_id FOREIGN KEY (student_enrolment_id) REFERENCES Student_Enrolment (student_enrolment_id)\n);\n\nCREATE TABLE Transcripts (\n    transcript_id number, -- example: [1, 2]\n    transcript_date time, -- example: ['1988-04-30 01:19:47', '1975-10-28 15:16:51']\n    other_details text,\n    PRIMARY KEY (transcript_id)\n);\n\nCREATE TABLE Transcript_Contents (\n    student_course_id number, -- example: [0, 96]\n    transcript_id number, -- example: [2, 8]\n    CONSTRAINT fk_transcript_contents_student_course_id FOREIGN KEY (student_course_id) REFERENCES Student_Enrolment_Courses (student_course_id),\n    CONSTRAINT fk_transcript_contents_transcript_id FOREIGN KEY (transcript_id) REFERENCES Transcripts (transcript_id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me the three addresse lines?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT line_1 ,  line_2, line_3 FROM addresses",
    "external_knowledge": "None"
  },
  {
    "question": "How many first shows?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many first shows?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM show where If_first_show = 'T'",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of first show.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of first show.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM show where If_first_show = 'T'",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of conductors in ascending order of age.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the names of conductors in ascending order of age.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY birthday desc",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors, ordered by age?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of conductors, ordered by age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY birthday desc",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of american conductors?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of american conductors?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor WHERE Nationality = 'USA'",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of american conductors.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the names of american conductors.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor WHERE Nationality = 'USA'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the record companies of orchestras in the order of founded years from oldest to latest?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the record companies of orchestras in the order of founded years from oldest to latest?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded asc",
    "external_knowledge": "None"
  },
  {
    "question": "Return the record companies of orchestras, sorted by the founded year from oldest to latest.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the record companies of orchestras, sorted by the founded year from oldest to latest.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded asc",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average attendance of non-first shows?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average attendance of non-first shows?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Attendance) FROM SHOW where If_first_show = 'F'",
    "external_knowledge": "None"
  },
  {
    "question": "Return the average attendance across all non-first shows.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the average attendance across all non-first shows.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(Attendance) FROM SHOW where If_first_show = 'F'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the maximum and minimum share of performances whose type is not \"Live final\".",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Live final', 'Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Live final', 'Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the maximum and minimum share of performances whose type is not \"Live final\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(SHARE) ,  min(SHARE) FROM performance WHERE TYPE != \"Live final\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the maximum and minimum shares for performances that do not have the type \"Live final\".",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Live final', 'Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Live final', 'Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the maximum and minimum shares for performances that do not have the type \"Live final\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(SHARE) ,  min(SHARE) FROM performance WHERE TYPE != \"Live final\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many different nationalities do conductors have?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many different nationalities do conductors have?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT Nationality) FROM conductor",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of different nationalities of conductors.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of different nationalities of conductors.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT Nationality) FROM conductor",
    "external_knowledge": "None"
  },
  {
    "question": "List names of conductors in ascending order of age.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList names of conductors in ascending order of age.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY birthday DESC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors, sorted ascending by age?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of conductors, sorted ascending by age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY birthday DESC",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of the conductor with the longest work.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the name of the conductor with the longest work.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY Year_of_Work DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the conductor who has worked the longest?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the conductor who has worked the longest?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM conductor ORDER BY Year_of_Work DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of conductors and the orchestras they have conducted.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the names of conductors and the orchestras they have conducted.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name ,  T2.Orchestra FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors as well as the corresonding orchestras that they have conducted?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of conductors as well as the corresonding orchestras that they have conducted?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name ,  T2.Orchestra FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of conductors that have conducted more than one orchestras.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the names of conductors that have conducted more than one orchestras.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID GROUP BY T2.Conductor_ID HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors who have conducted at more than one orchestra?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of conductors who have conducted at more than one orchestra?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID GROUP BY T2.Conductor_ID HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name of the conductor that has conducted the most number of orchestras.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the name of the conductor that has conducted the most number of orchestras.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID GROUP BY T2.Conductor_ID ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the conductor who has conducted the most orchestras?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the conductor who has conducted the most orchestras?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID GROUP BY T2.Conductor_ID ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Please show the name of the conductor who has conducted the oldest orchestras.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nPlease show the name of the conductor who has conducted the oldest orchestras.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID order by Year_of_Founded asc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors who have conducted the latest orchestras?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of conductors who have conducted the latest orchestras?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID  =  T2.Conductor_ID order by Year_of_Founded  desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "Please show the different record companies and the corresponding number of orchestras.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nPlease show the different record companies and the corresponding number of orchestras.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company ,  COUNT(*) FROM orchestra GROUP BY Record_Company",
    "external_knowledge": "None"
  },
  {
    "question": "How many orchestras does each record company manage?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many orchestras does each record company manage?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company ,  COUNT(*) FROM orchestra GROUP BY Record_Company",
    "external_knowledge": "None"
  },
  {
    "question": "Please show the record formats of orchestras in ascending order of age.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nPlease show the record formats of orchestras in ascending order of age.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Major_Record_Format FROM orchestra ORDER BY Year_of_Founded desc",
    "external_knowledge": "None"
  },
  {
    "question": "What are the major record formats of orchestras, sorted by their age?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the major record formats of orchestras, sorted by their age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Major_Record_Format FROM orchestra ORDER BY Year_of_Founded desc",
    "external_knowledge": "None"
  },
  {
    "question": "List the record company shared by the oldest orchestras.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the record company shared by the oldest orchestras.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded asc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the record company used by the newest orchestras?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the record company used by the newest orchestras?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded desc LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of orchestras that have no performance.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the names of orchestras that have no performance.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Orchestra FROM orchestra WHERE Orchestra_ID NOT IN (SELECT Orchestra_ID FROM performance)",
    "external_knowledge": "None"
  },
  {
    "question": "What are the orchestras that do not have any performances?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the orchestras that do not have any performances?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Orchestra FROM orchestra WHERE Orchestra_ID NOT IN (SELECT Orchestra_ID FROM performance)",
    "external_knowledge": "None"
  },
  {
    "question": "Show the record companies shared by orchestras founded before or in 2003.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the record companies shared by orchestras founded before or in 2003.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra WHERE Year_of_Founded  <=  2003",
    "external_knowledge": "None"
  },
  {
    "question": "What are the record companies that are used by both orchestras founded after or in 2003?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the record companies that are used by both orchestras founded after or in 2003?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Record_Company FROM orchestra WHERE Year_of_Founded  >=  2003",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of first shows in \"Glebe Park\".",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of first shows in \"Glebe Park\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM show WHERE Result  =  \"Glebe Park\" and If_first_show  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of all first shows in \"Glebe Park\"",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of all first shows in \"Glebe Park\"\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT COUNT(*) FROM show WHERE Result  =  \"Glebe Park\" and If_first_show  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show the type in which performance that have given more than one non-first show.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the type in which performance that have given more than one non-first show.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Type FROM performance AS T1 JOIN show AS T2 ON T1.Performance_ID  =  T2.Performance_ID WHERE If_first_show = 'F' GROUP BY T2.Performance_ID HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are type of performances that have had more than one non-first show?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    birthday number, -- date of birth, example: ['1981-02-09 00:00:00', '1980-01-09 00:00:00']\n    Nationality text, -- example: ['USA', 'UK']\n    Year_of_Work number, -- example: [10, 11]\n    PRIMARY KEY (Conductor_ID)\n);\n\nCREATE TABLE orchestra (\n    Orchestra_ID number, -- example: [1, 2]\n    Orchestra text, -- example: ['London Symphony Orchestra', 'Columbia Symphony Orchestra']\n    Conductor_ID number, -- example: [1, 2]\n    Record_Company text, -- example: ['Mercury Records', 'Columbia Masterworks']\n    Year_of_Founded number, -- example: [2003.0, 2009.0]\n    Major_Record_Format text, -- example: ['CD', 'CD / LP']\n    PRIMARY KEY (Orchestra_ID),\n    CONSTRAINT fk_orchestra_conductor_id FOREIGN KEY (Conductor_ID) REFERENCES conductor (Conductor_ID)\n);\n\nCREATE TABLE performance (\n    Performance_ID number, -- example: [1, 2]\n    Orchestra_ID number, -- example: [1, 2]\n    Type text, -- example: ['Auditions 1', 'Auditions 2']\n    `Date` text, -- example: ['9 June', '10 June']\n    `Official_ratings_(millions)` number, -- example: [5.2, 6.73]\n    Weekly_rank text, -- example: ['12', '8']\n    Share text, -- example: ['22.7%', '28.0%']\n    PRIMARY KEY (Performance_ID),\n    CONSTRAINT fk_performance_orchestra_id FOREIGN KEY (Orchestra_ID) REFERENCES orchestra (Orchestra_ID)\n);\n\nCREATE TABLE show (\n    Show_ID number, -- example: [1, 2]\n    Performance_ID number, -- example: [1, 2]\n    If_first_show others, -- example: ['T', 'F']\n    Result text, -- example: ['Glebe Park', 'Fir Park']\n    Attendance number, -- example: [1026.0, 695.0]\n    CONSTRAINT fk_show_performance_id FOREIGN KEY (Performance_ID) REFERENCES performance (Performance_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are type of performances that have had more than one non-first show?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Type FROM performance AS T1 JOIN show AS T2 ON T1.Performance_ID  =  T2.Performance_ID Where If_first_show = 'F' GROUP BY T2.Performance_ID HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Which states have both owners and professionals living there?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich states have both owners and professionals living there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT state FROM Owners INTERSECT SELECT state FROM Professionals",
    "external_knowledge": "None"
  },
  {
    "question": "Find the states where both owners and professionals live.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the states where both owners and professionals live.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT state FROM Owners INTERSECT SELECT state FROM Professionals",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average age of the dogs who have gone through any treatments?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average age of the dogs who have gone through any treatments?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average age of the dogs who went through treatments.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the average age of the dogs who went through treatments.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Indiana', 'Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Indiana', 'Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >  2",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two treatments.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Indiana', 'Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Indiana', 'Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the id, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two treatments.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >  2",
    "external_knowledge": "None"
  },
  {
    "question": "Which dogs have not cost their owner more than 1000 for treatment? List the dog names.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich dogs have not cost their owner more than 1000 for treatment? List the dog names.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name FROM Dogs WHERE dog_id NOT IN( SELECT dog_id FROM Treatments GROUP BY dog_id HAVING sum(cost_of_treatment)  >  1000 )",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the dogs for which the owner spent more than 1000 for treatment?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the dogs for which the owner spent more than 1000 for treatment?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name FROM Dogs WHERE dog_id NOT IN( SELECT dog_id FROM Treatments GROUP BY dog_id HAVING sum(cost_of_treatment)  >  1000 )",
    "external_knowledge": "None"
  },
  {
    "question": "Which first names are used for professionals or owners but are not used as dog names?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich first names are used for professionals or owners but are not used as dog names?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first names that are used for professionals or owners but are not used as dog names.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first names that are used for professionals or owners but are not used as dog names.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs",
    "external_knowledge": "None"
  },
  {
    "question": "Which professional did not operate any treatment on dogs? List the professional's id, and name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professional did not operate any treatment on dogs? List the professional's id, and name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT professional_id ,  first_name , last_name FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id",
    "external_knowledge": "None"
  },
  {
    "question": "Give me the id, and name of the professionals who did not perform any treatment on dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me the id, and name of the professionals who did not perform any treatment on dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT professional_id ,  first_name , last_name FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id",
    "external_knowledge": "None"
  },
  {
    "question": "Which owner owns the most dogs? List the owner id, and name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich owner owns the most dogs? List the owner id, and name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the owner id and name of the owner who has the most dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the owner id and name of the owner who has the most dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals have done at least two treatments? List the professional's id, home and phone number.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professionals have done at least two treatments? List the professional's id, home and phone number.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.professional_id ,  T1.home_phone ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "What are the id, home and phone number of the professionals who have performed two or more treatments?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the id, home and phone number of the professionals who have performed two or more treatments?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.professional_id ,  T1.home_phone ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the breed with the most abandoned dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the breed with the most abandoned dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code where abandoned_yn = 1 GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which breed do the most abandoned dogs have? Give me the breed name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich breed do the most abandoned dogs have? Give me the breed name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code where abandoned_yn = 1 GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which owner has paid for the most treatments on his or her dogs? List the owner id and last name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich owner has paid for the most treatments on his or her dogs? List the owner id and last name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Tell me the owner id and last name of the owner who spent the most on treatments of his or her dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nTell me the owner id and last name of the owner who spent the most on treatments of his or her dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the description of the treatment type that costs the least money in total?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the description of the treatment type that costs the least money in total?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Give me the description of the treatment type whose total cost is the lowest.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nGive me the description of the treatment type whose total cost is the lowest.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the owner id and zip code of the owner who spent the most money in total for his or her dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the owner id and zip code of the owner who spent the most money in total for his or her dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals have done at least two types of treatments? List the professional id and name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professionals have done at least two types of treatments? List the professional id and name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.professional_id ,  T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id and home and phone number of the professionals who operate two or more types of treatments.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the id and home and phone number of the professionals who operate two or more types of treatments.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.professional_id ,  T1.home_phone ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "What are the name of the professionals who have done treatment with cost below average?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the name of the professionals who have done treatment with cost below average?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals have operated a treatment that costs less than the average? Give me their names.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professionals have operated a treatment that costs less than the average? Give me their names.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "List the date of each treatment, together with the name of the professional who operated it.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the date of each treatment, together with the name of the professional who operated it.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.date_of_treatment ,  T2.first_name , T2.last_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are the date and the operating professional's name of each treatment?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the date and the operating professional's name of each treatment?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.date_of_treatment ,  T2.first_name , T2.last_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id",
    "external_knowledge": "None"
  },
  {
    "question": "List the cost of each treatment and the corresponding treatment type description.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the cost of each treatment and the corresponding treatment type description.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "What are the cost and treatment type description of each treatment?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the cost and treatment type description of each treatment?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "List each owner's name, and the size of his for her dog.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList each owner's name, and the size of his for her dog.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are each owner's name, and the size of their dog?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are each owner's name, and the size of their dog?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id",
    "external_knowledge": "None"
  },
  {
    "question": "List pairs of the owner's names and the dogs's name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList pairs of the owner's names and the dogs's name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are each owner's name and their dogs's name?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are each owner's name and their dogs's name?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name , T1.last_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of the dogs of the rarest breed and the treatment dates of them.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the names of the dogs of the rarest breed and the treatment dates of them.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )",
    "external_knowledge": "None"
  },
  {
    "question": "Which dogs are of the rarest breed? Show their names and treatment dates.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich dogs are of the rarest breed? Show their names and treatment dates.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )",
    "external_knowledge": "None"
  },
  {
    "question": "Which dogs are owned by someone who lives in VA? List the owner's first name and the dog's name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich dogs are owned by someone who lives in VA? List the owner's first name and the dog's name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first names of owners living in VA and the names of dogs they own.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the first names of owners living in VA and the names of dogs they own.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the treatment date from dog arriving to departing?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the treatment date from dog arriving to departing?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id",
    "external_knowledge": "None"
  },
  {
    "question": "Find the dog treatment period from arriving to departing date.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the dog treatment period from arriving to departing date.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id",
    "external_knowledge": "None"
  },
  {
    "question": "List the last name of the owner owning the youngest dog.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the last name of the owner owning the youngest dog.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "Who owns the youngest dog? Give me his or her last name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWho owns the youngest dog? Give me his or her last name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "List the emails of the professionals who live in the state of HI or WI.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the emails of the professionals who live in the state of HI or WI.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the emails of the professionals living in either the state of HI or WI?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the emails of the professionals living in either the state of HI or WI?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the arriving date and the departing date of all the abandoned dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the arriving date and the departing date of all the abandoned dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT date_arrived ,  date_departed FROM Dogs where abandoned_yn = 1",
    "external_knowledge": "None"
  },
  {
    "question": "List the arrival date and the departure date for all the abandoned dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the arrival date and the departure date for all the abandoned dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT date_arrived ,  date_departed FROM Dogs where abandoned_yn = 1",
    "external_knowledge": "None"
  },
  {
    "question": "How many dogs went through any treatments?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many dogs went through any treatments?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT dog_id) FROM Treatments",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of dogs that went through a treatment.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of dogs that went through a treatment.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT dog_id) FROM Treatments",
    "external_knowledge": "None"
  },
  {
    "question": "How many professionals have performed any treatment to dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many professionals have performed any treatment to dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT professional_id) FROM Treatments",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of professionals who have ever treated dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of professionals who have ever treated dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(DISTINCT professional_id) FROM Treatments",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals live in a city containing the substring 'West'? List his or her name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich professionals live in a city containing the substring 'West'? List his or her name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name , last_name FROM professionals WHERE city LIKE '%West%'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of the professionals living in a city that contains the substring 'West'.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the name of the professionals living in a city that contains the substring 'West'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name , last_name FROM professionals WHERE city LIKE '%West%'",
    "external_knowledge": "None"
  },
  {
    "question": "Which owners live in the state whose name contains the substring 'North'? List his name.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhich owners live in the state whose name contains the substring 'North'? List his name.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name , last_name FROM Owners WHERE state LIKE '%North%'",
    "external_knowledge": "None"
  },
  {
    "question": "Return the name of the owners living in a state whose name contains the substring 'North'.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nReturn the name of the owners living in a state whose name contains the substring 'North'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT first_name , last_name FROM Owners WHERE state LIKE '%North%'",
    "external_knowledge": "None"
  },
  {
    "question": "How many abandoned dogs have an age below the average?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many abandoned dogs have an age below the average?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Dogs WHERE abandoned_yn = 1 and age  <  ( SELECT avg(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of abandoned dogs of an age below the average.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCount the number of abandoned dogs of an age below the average.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Dogs WHERE abandoned_yn = 1 and age  <  ( SELECT avg(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "How much does the most recent treatment cost?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow much does the most recent treatment cost?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show me the cost of the most recently performed treatment.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow me the cost of the most recently performed treatment.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "How many abandoned dogs have not gone through any treatment?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many abandoned dogs have not gone through any treatment?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Dogs WHERE abandoned_yn = 1 and dog_id NOT IN ( SELECT dog_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "Tell me the number of dogs that have received any treatment.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nTell me the number of dogs that have received any treatment.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Dogs WHERE dog_id NOT IN ( SELECT dog_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "How many owners temporarily do not have any abandoned dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many owners temporarily do not have any abandoned dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Owners WHERE owner_id NOT IN ( SELECT owner_id FROM Dogs where abandoned_yn = 1 )",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of owners who do not own any abandoned dogs at this moment.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of owners who do not own any abandoned dogs at this moment.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Owners WHERE owner_id NOT IN ( SELECT owner_id FROM Dogs where abandoned_yn = 1 )",
    "external_knowledge": "None"
  },
  {
    "question": "How many professionals did not operate any treatment on dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many professionals did not operate any treatment on dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Professionals WHERE professional_id NOT IN ( SELECT professional_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of professionals who have not treated any dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the number of professionals who have not treated any dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM Professionals WHERE professional_id NOT IN ( SELECT professional_id FROM Treatments )",
    "external_knowledge": "None"
  },
  {
    "question": "List the dog name, age and weight of the abandoned dogs? 1 stands for yes, and 0 stands for no.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the dog name, age and weight of the abandoned dogs? 1 stands for yes, and 0 stands for no.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  age ,  weight FROM Dogs WHERE abandoned_yn  =  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the dog name, age and weight of the dogs that were abandoned? Note that 1 stands for yes, and 0 stands for no in the tables.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the dog name, age and weight of the dogs that were abandoned? Note that 1 stands for yes, and 0 stands for no in the tables.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT name ,  age ,  weight FROM Dogs WHERE abandoned_yn  =  1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average age of all the abandoned dogs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the average age of all the abandoned dogs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM Dogs where abandoned_yn = 1",
    "external_knowledge": "None"
  },
  {
    "question": "Compute the average age of all the abandoned dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nCompute the average age of all the abandoned dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT avg(age) FROM Dogs where abandoned_yn = 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the age of the oldest dog?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the age of the oldest dog?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(age) FROM Dogs",
    "external_knowledge": "None"
  },
  {
    "question": "Tell me the age of the oldest dog.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nTell me the age of the oldest dog.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(age) FROM Dogs",
    "external_knowledge": "None"
  },
  {
    "question": "How much does each charge type costs? List both charge type and amount.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow much does each charge type costs? List both charge type and amount.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT charge_type ,  charge_amount FROM Charges",
    "external_knowledge": "None"
  },
  {
    "question": "List each charge type and its amount.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList each charge type and its amount.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT charge_type ,  charge_amount FROM Charges",
    "external_knowledge": "None"
  },
  {
    "question": "How much does the most expensive charge type costs?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow much does the most expensive charge type costs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(charge_amount) FROM Charges",
    "external_knowledge": "None"
  },
  {
    "question": "What is the charge amount of the most expensive charge type?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the charge amount of the most expensive charge type?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT max(charge_amount) FROM Charges",
    "external_knowledge": "None"
  },
  {
    "question": "List the email and name of all the professionals.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the email and name of all the professionals.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT email_address , first_name , last_name FROM professionals",
    "external_knowledge": "None"
  },
  {
    "question": "What are the email, and name of each professional?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the email, and name of each professional?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT email_address , first_name , last_name FROM professionals",
    "external_knowledge": "None"
  },
  {
    "question": "What are all the possible breed type and size type combinations?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are all the possible breed type and size type combinations?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT breed_code ,  size_code FROM dogs",
    "external_knowledge": "None"
  },
  {
    "question": "Find the distinct breed type and size type combinations for dogs.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFind the distinct breed type and size type combinations for dogs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT breed_code ,  size_code FROM dogs",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of all the professionals along with the description of the treatment they have done.",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the name of all the professionals along with the description of the treatment they have done.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.first_name , T1.last_name , T3.treatment_type_description FROM professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id JOIN Treatment_types AS T3 ON T2.treatment_type_code  =  T3.treatment_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "What are each professional's name and description of the treatment they have performed?",
    "schema": "CREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE Breeds (\n    breed_code text, -- example: ['BUL', 'ESK']\n    breed_name text, -- example: ['Eskimo', 'Husky']\n    PRIMARY KEY (breed_code)\n);\n\nCREATE TABLE Charges (\n    charge_id number, -- example: [1, 2]\n    charge_type text, -- example: ['Daily Accommodation', 'Drugs']\n    charge_amount number, -- example: [98, 322]\n    PRIMARY KEY (charge_id)\n);\n\nCREATE TABLE Sizes (\n    size_code text, -- example: ['LGE', 'MED']\n    size_description text, -- example: ['Small', 'Medium']\n    PRIMARY KEY (size_code)\n);\n\nCREATE TABLE Treatment_Types (\n    treatment_type_code text, -- example: ['EXAM', 'VAC']\n    treatment_type_description text, -- example: ['Physical examination', 'Vaccination']\n    PRIMARY KEY (treatment_type_code)\n);\n\nCREATE TABLE Owners (\n    owner_id number, -- example: [1, 2]\n    first_name text, -- example: ['Nora', 'Melisa']\n    last_name text, -- example: ['Haley', 'DuBuque']\n    street text, -- example: ['0647 Hintz Village Apt. 024', '1204 Mae Highway Apt. 107']\n    city text, -- example: ['Lake Tia', 'Port Reannamouth']\n    state text, -- example: ['Wisconsin', 'Virginia']\n    zip_code text, -- example: ['93165', '45244']\n    email_address text, -- example: ['lynn81@example.org', 'ykris@example.com']\n    home_phone text, -- example: ['1-682-845-0116x63235', '(799)563-0260x454']\n    cell_number text, -- example: ['478.978.0729', '(722)768-5439x484']\n    PRIMARY KEY (owner_id)\n);\n\nCREATE TABLE Dogs (\n    dog_id number, -- example: [1, 2]\n    owner_id number, -- example: [3, 11]\n    abandoned_yn text, -- abandoned yes or no, example: ['1', '0']\n    breed_code text, -- example: ['ESK', 'BUL']\n    size_code text, -- example: ['LGE', 'MED']\n    name text, -- example: ['Kacey', 'Hipolito']\n    age text, -- example: ['6', '9']\n    date_of_birth time, -- example: ['2012-01-27 05:11:53', '2013-02-13 05:15:21']\n    gender text, -- example: ['1', '0']\n    weight text, -- example: ['7.57', '1.72']\n    date_arrived time, -- example: ['2017-09-08 20:10:13', '2017-12-22 05:02:02']\n    date_adopted time, -- example: ['2018-03-06 16:32:11', '2018-03-25 08:12:51']\n    date_departed time, -- example: ['2018-03-25 06:58:44', '2018-03-25 02:11:32']\n    PRIMARY KEY (dog_id),\n    CONSTRAINT fk_dogs_owner_id FOREIGN KEY (owner_id) REFERENCES Owners (owner_id),\n    CONSTRAINT fk_dogs_breed_code FOREIGN KEY (breed_code) REFERENCES Breeds (breed_code),\n    CONSTRAINT fk_dogs_size_code FOREIGN KEY (size_code) REFERENCES Sizes (size_code)\n);\n\nCREATE TABLE Professionals (\n    professional_id number, -- example: [1, 2]\n    role_code text, -- example: ['Employee', 'Veterenarian']\n    first_name text, -- example: ['Taryn', 'Jayson']\n    street text, -- example: ['6915 Oberbrunner Point Suite 491\\nGleason', '88665 Terence Lodge Apt. 904\\nCorneliusfo']\n    city text, -- example: ['West Heidi', 'North Odellfurt']\n    state text, -- example: ['Indiana', 'Connecticut']\n    zip_code text, -- example: ['06646', '43129']\n    last_name text, -- example: ['Braun', 'Ullrich']\n    email_address text, -- example: ['deanna.schuster@example.com', 'lucile.shanahan@example.org']\n    home_phone text, -- example: ['+71(6)2898266914', '+02(1)0259033559']\n    cell_number text, -- example: ['(275)939-2435x80863', '889-940-2676']\n    PRIMARY KEY (professional_id)\n);\n\nCREATE TABLE Treatments (\n    treatment_id number, -- example: [1, 2]\n    dog_id number, -- example: [14, 4]\n    professional_id number, -- example: [9, 10]\n    treatment_type_code text, -- example: ['WALK', 'VAC']\n    date_of_treatment time, -- example: ['2018-03-19 04:39:54', '2018-03-15 20:25:34']\n    cost_of_treatment number, -- example: [567, 147]\n    PRIMARY KEY (treatment_id),\n    CONSTRAINT fk_treatments_dog_id FOREIGN KEY (dog_id) REFERENCES Dogs (dog_id),\n    CONSTRAINT fk_treatments_professional_id FOREIGN KEY (professional_id) REFERENCES Professionals (professional_id),\n    CONSTRAINT fk_treatments_treatment_type_code FOREIGN KEY (treatment_type_code) REFERENCES Treatment_Types (treatment_type_code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are each professional's name and description of the treatment they have performed?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.first_name , T1.last_name , T3.treatment_type_description FROM professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id JOIN Treatment_types AS T3 ON T2.treatment_type_code  =  T3.treatment_type_code",
    "external_knowledge": "None"
  },
  {
    "question": "How many singers are there?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nHow many singers are there?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "What is the count of singers?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the count of singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT count(*) FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of singers in ascending order of age.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the name of singers in ascending order of age.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer ORDER BY Birth_Year desc",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of singers ordered by ascending age?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of singers ordered by ascending age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer ORDER BY Birth_Year desc",
    "external_knowledge": "None"
  },
  {
    "question": "What are the birth year and citizenship of singers?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the birth year and citizenship of singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Birth_Year ,  Citizenship FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "What are the birth years and citizenships of the singers?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the birth years and citizenships of the singers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Birth_Year ,  Citizenship FROM singer",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of singers who is not French.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the name of singers who is not French.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Citizenship != \"France\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers who are not French?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the singers who are not French?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Citizenship != \"France\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name of singers whose birth year is earlier than or in 1948?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the name of singers whose birth year is earlier than or in 1948?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Birth_Year  <=  1948",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers whose birth years are earlier than or in 1948?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the singers whose birth years are earlier than or in 1948?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Birth_Year  <=  1948",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the singer with the youngest age?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the singer with the youngest age?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer ORDER BY Birth_Year DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the singer who is the youngest?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the name of the singer who is the youngest?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer ORDER BY Birth_Year DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show different citizenship of singers and the number of singers of each citizenship.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow different citizenship of singers and the number of singers of each citizenship.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship ,  COUNT(*) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "For each citizenship, how many singers are from that country?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor each citizenship, how many singers are from that country?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship ,  COUNT(*) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "Please show the most common citizenship of singers.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nPlease show the most common citizenship of singers.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the msot common singer citizenship?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the msot common singer citizenship?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show different citizenships and the highest net worth of singers of each citizenship.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow different citizenships and the highest net worth of singers of each citizenship.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship ,  max(Net_Worth_Millions) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "For each citizenship, what is the highest net worth?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor each citizenship, what is the highest net worth?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship ,  max(Net_Worth_Millions) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of the highest sales songs.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the names of the highest sales songs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Title FROM song order by Sales desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are names of the highest sales songs?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are names of the highest sales songs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Title FROM song order by Sales desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show distinct names of singers that have songs with sales more than 300000.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow distinct names of singers that have songs with sales more than 300000.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID WHERE T2.Sales  >  300000",
    "external_knowledge": "None"
  },
  {
    "question": "what are the different names of the singers that have sales more than 300000?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nwhat are the different names of the singers that have sales more than 300000?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID WHERE T2.Sales  >  300000",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of singers that have more than one song.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the names of singers that have more than one song.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID GROUP BY T1.Name HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers that have more than one songs?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the names of the singers that have more than one songs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID GROUP BY T1.Name HAVING COUNT(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of singers and the max highest position of their songs.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the names of singers and the max highest position of their songs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name ,  max(T2.Highest_Position) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID GROUP BY T1.Name",
    "external_knowledge": "None"
  },
  {
    "question": "For each singer name, what is the maximum highest position for their songs?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nFor each singer name, what is the maximum highest position for their songs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T1.Name ,  max(T2.Highest_Position) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID  =  T2.Singer_ID GROUP BY T1.Name",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of singers that do not have any song.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nList the name of singers that do not have any song.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Singer_ID NOT IN (SELECT Singer_ID FROM song)",
    "external_knowledge": "None"
  },
  {
    "question": "What is the sname of every sing that does not have any song?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat is the sname of every sing that does not have any song?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Name FROM singer WHERE Singer_ID NOT IN (SELECT Singer_ID FROM song)",
    "external_knowledge": "None"
  },
  {
    "question": "Show the citizenship shared by singers with birth year before or in 1945.",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nShow the citizenship shared by singers with birth year before or in 1945.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship FROM singer WHERE Birth_Year  <=  1945",
    "external_knowledge": "None"
  },
  {
    "question": "What are the citizenships that are shared by singers with a birth year before or in 1945?",
    "schema": "CREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE singer (\n    Singer_ID number, -- example: [1, 2]\n    Name text, -- example: ['Liliane Bettencourt', 'Christy Walton']\n    Birth_Year number, -- example: [1944.0, 1948.0]\n    Net_Worth_Millions number, -- example: [30.0, 28.8]\n    Citizenship text, -- example: ['France', 'United States']\n    PRIMARY KEY (Singer_ID)\n);\n\nCREATE TABLE song (\n    Song_ID number, -- example: [1, 2]\n    Title text, -- example: [\"Do They Know It's Christmas\", \"F**k It (I Don't Want You Back)\"]\n    Singer_ID number, -- example: [1, 2]\n    Sales number, -- example: [1094000.0, 552407.0]\n    Highest_Position number, -- example: [1.0, 3.0]\n    PRIMARY KEY (Song_ID),\n    CONSTRAINT fk_song_singer_id FOREIGN KEY (Singer_ID) REFERENCES singer (Singer_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhat are the citizenships that are shared by singers with a birth year before or in 1945?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Citizenship FROM singer WHERE Birth_Year  <=  1945",
    "external_knowledge": "None"
  }
]