[
  {
    "question": "Show name, country, age for all singers 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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, age for all singers 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 ,  age FROM singer ORDER BY age DESC",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average, minimum, and maximum age of all singers from France?",
    "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: ['France', 'Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Age number, -- example: [52, 32]\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: ['France', 'Netherlands', 'United States']\n    Song_Name text, -- example: ['You', 'Dangerous']\n    Song_release_year text, -- example: ['1992', '2008']\n    Age number, -- example: [52, 32]\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 age of all singers from France?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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) ,  min(age) ,  max(age) FROM singer WHERE country  =  'France'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average, minimum, and maximum age for 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 age for 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(age) ,  min(age) ,  max(age) 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 age 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 age LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are all distinct countries where singers older than 20 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 older than 20 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 age  >  20",
    "external_knowledge": "None"
  },
  {
    "question": "What are  the different countries with singers  older than 20?",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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  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 DISTINCT country FROM singer WHERE age  >  20",
    "external_knowledge": "None"
  },
  {
    "question": "Show all countries and the number of singers in each nation.",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 nation.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 nation?",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 nation?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 age  >  (SELECT avg(age) 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 age  >  (SELECT avg(age) FROM singer)",
    "external_knowledge": "None"
  },
  {
    "question": "Show location and name for all stadiums that can fit between 5000 and 10000 people.",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 that can fit between 5000 and 10000 people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 that can accommodate between 5000 and 10000 fans?",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 that can accommodate between 5000 and 10000 fans?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "How many concerts are there in  2014 or 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 in  2014 or 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 count(*) FROM concert WHERE YEAR  =  2014 OR YEAR  =  2015",
    "external_knowledge": "None"
  },
  {
    "question": "How many concerts occurred in 2014 or 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 in 2014 or 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 count(*) FROM concert WHERE YEAR  =  2014 OR YEAR  =  2015",
    "external_knowledge": "None"
  },
  {
    "question": "Show the stadium name and capacity with most number of concerts in  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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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  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 capacity 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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  >  2013 group by t2.stadium_id order by count(*) desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the stadium names 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 names 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 name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)",
    "external_knowledge": "None"
  },
  {
    "question": "Show countries where a singer older than 40 and a singer younger than 30 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 older than 40 and a singer younger than 30 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 age  >  40 INTERSECT SELECT country FROM singer WHERE age  <  30",
    "external_knowledge": "None"
  },
  {
    "question": "Show names for all stadiums except for stadiums having 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 names for all stadiums except for stadiums having 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 name FROM stadium EXCEPT SELECT T2.name 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 names 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 name FROM stadium EXCEPT SELECT T2.name 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.",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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": "What are the names 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 are the names of the singers who performed in 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 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": "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 name and location of the stadiums which some concerts happened 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 name and location of the stadiums which some concerts happened 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.name ,  T2.location 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 names and locations 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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 locations 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.name ,  T2.location 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 that can accommodate the most people.",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 that can accommodate the most people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 stadium_id = (select stadium_id from stadium order by capacity desc limit 1)",
    "external_knowledge": "None"
  },
  {
    "question": "What are the number of concerts that occurred in the stadium with space for the most people?",
    "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    Age number, -- example: [52, 32]\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    Age number, -- example: [52, 32]\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 space for the most people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 stadium_id = (select stadium_id from stadium order by capacity desc limit 1)",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of pets that 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 that 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 are over 10 lbs?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 over 10 lbs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 pet_age 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 pet_age LIMIT 1",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 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": "Find the number of dogs that 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: ['dog', 'cat']\n    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 dogs that 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": "How many dogs 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: ['dog', 'cat']\n    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 dogs 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 first name of students who have cat or 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat or 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 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 cat or 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat or 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 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 cat and 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat and 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.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 cats and dogs?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cats and 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.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 cat.",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 cat, 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat, 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 cat.",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 cats?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cats?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 cat.",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 cat.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 dog but does not have a cat?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 dog but does not have a cat?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 pet_age 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 pet_age LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id and weight of all pets that is older than 1.",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 that is older than 1.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 pet_age  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the id and weight of every pet who is over 1 year old?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 over 1 year 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 petid ,  weight FROM pets WHERE pet_age  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the last name of the student who has a cat that is 3 years old.",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 is 3 years 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 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.pet_age  =  3 AND T3.pettype  =  'cat'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the last name of the student who has a cat that is 3 years old?",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 is 3 years 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 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.pet_age  =  3 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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 stuid from has_pet)",
    "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    pet_age number, -- example: [3, 2]\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    pet_age number, -- example: [3, 2]\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 stuid from has_pet)",
    "external_knowledge": "None"
  },
  {
    "question": "How many models does each manufacturer 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 manufacturer 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 manufacturer, 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 manufacturer, 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": "Find the model of the car that is lighter than 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:\nFind the model of the car that is lighter 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 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 that is lighter 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 that is lighter 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 1970?",
    "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 1970?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  '1970';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the different car makers who produced a car in 1970?",
    "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 1970?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  '1970';",
    "external_knowledge": "None"
  },
  {
    "question": "Find the make and production time of the cars that were produced in the earliest ?",
    "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 ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  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  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 after 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 after 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 after 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 after 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": "Which of the nations 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 nations 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 nation 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 nation 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 manufacturer? 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 manufacturer? 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 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 company 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 company 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 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 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 car makers are there in france?",
    "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: ['france', '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: ['france', '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 france?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'france';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of makers of care in France?",
    "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: ['france', '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: ['france', '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 care in France?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'france';",
    "external_knowledge": "None"
  },
  {
    "question": "How many car models are produced in the usa?",
    "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 usa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 4 CYL 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 is the average miles per gallon(mpg) of the 4 CYL 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 avg(mpg) FROM CARS_DATA WHERE Cylinders  =  4;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the smallest weight of the 8 CYL car produced 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 8 CYL car produced 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 min(weight) from cars_data where cylinders  =  8 and year  =  1974",
    "external_knowledge": "None"
  },
  {
    "question": "What are the nations 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 nations 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 nations 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 nations 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  more than 150 hp?",
    "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  more than 150 hp?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 over 150 hp?",
    "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 over 150 hp?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "Which countries in europe have at least 3 car manufacturers?",
    "schema": "CREATE TABLE continents (\n    ContId number, -- example: [1, 2]\n    Continent text, -- example: ['europe', 'america']\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: ['europe', 'america']\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 countries in europe 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": "Which model saves the most gasoline?",
    "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?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 that is the most fuel efficient?",
    "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 that is the most fuel efficient?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 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 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 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 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  volvo?",
    "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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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  volvo?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'volvo';",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average edispl for all volvos?",
    "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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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 volvos?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'volvo';",
    "external_knowledge": "None"
  },
  {
    "question": "What car 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 car 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 were produced 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:\nhow many cars were produced 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 count(*) FROM CARS_DATA WHERE YEAR  =  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "In 1980, 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 1980, 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  =  1980;",
    "external_knowledge": "None"
  },
  {
    "question": "How many car models were produced by American Motor Company?",
    "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 Company?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Company?",
    "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 Company?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 manufacturers 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 manufacturers 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 car companies 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 car companies 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 General Motors or heavier 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 General Motors or heavier 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 General Motors or over 3500 lbs?",
    "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 General Motors or over 3500 lbs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 between 3000 and 4000 pounds?",
    "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 between 3000 and 4000 pounds?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 year from cars_data where weight between 3000 and 4000;",
    "external_knowledge": "None"
  },
  {
    "question": "What are the different years in which there were cars produced between 3000 and 4000 pounds?",
    "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 between 3000 and 4000 pounds?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 year from cars_data where weight between 3000 and 4000;",
    "external_knowledge": "None"
  },
  {
    "question": "For  volvo, 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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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  volvo, 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  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "For a volvo , 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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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: ['volvo', 'amc', 'volkswagen']\n    FullName text, -- example: ['Volvo', '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: ['volvo', '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: ['volvo', '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 volvo , 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  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "How many nations 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 nations 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 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 nations 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 nations 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 countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  2",
    "external_knowledge": "None"
  },
  {
    "question": "For all of the 4 CYL 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 CYL 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": "What is the maximum miles per gallon of the 8 CYL cars or cars produced before 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 8 CYL cars or cars produced before 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 max(mpg) from cars_data where cylinders  =  8 or year  <  1980",
    "external_knowledge": "None"
  },
  {
    "question": "Which models are lighter than 3500 but not built by the 'Ford Motor Company'?",
    "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: ['Ford Motor Company', '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: ['Ford Motor Company', '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 Company'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Company?",
    "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: ['Ford Motor Company', '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: ['Ford Motor Company', '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 Company?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 id and names of the countries which have more than 3 car makers or produce the 'fiat' ?",
    "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: ['fiat', 'amc', 'volkswagen']\n    FullName text, -- example: ['Fiat', '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: ['fiat', '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: ['fiat', '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: ['fiat', 'amc', 'volkswagen']\n    FullName text, -- example: ['Fiat', '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: ['fiat', '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: ['fiat', '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 'fiat' ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'fiat';",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids and names of all countries that either have more than 3 car makers or produce fiats?",
    "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: ['fiat', 'amc', 'volkswagen']\n    FullName text, -- example: ['Fiat', '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: ['fiat', '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: ['fiat', '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: ['fiat', 'amc', 'volkswagen']\n    FullName text, -- example: ['Fiat', '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: ['fiat', '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: ['fiat', '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 fiats?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  'fiat';",
    "external_knowledge": "None"
  },
  {
    "question": "Which country does \"\"JetBlue Airways\"\" belong to?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 \"\"JetBlue Airways\"\" 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 Airways affiliated with?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 Airways 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 \"\"JetBlue Airways\"\"?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 \"\"JetBlue Airways\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Airways?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 Airways?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 airline names and their abbreviations in \"\"USA\"\".",
    "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 all airline names and their abbreviations in \"\"USA\"\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 the airline names and abbreviations for airlines in the USA?",
    "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 airline names and abbreviations for airlines in the USA?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Anthony.",
    "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: ['Anthony ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Anthony ', '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: ['Anthony ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Anthony ', '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 Anthony.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  \"Anthony\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the airport code and airport name corresonding to Anthony.",
    "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: ['Anthony ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Anthony ', '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: ['Anthony ', 'Aberdeen ', 'Abilene ']\n    AirportCode text, -- example: ['AAF', 'ABI']\n    AirportName text, -- example: ['Anthony ', '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 Anthony.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  \"Anthony\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which airline is also known as 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 is also known as 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 called 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 called 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 USA?",
    "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 USA?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 USA.",
    "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 USA.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "What is the name for 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: [' AKO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AKO', ' 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: [' AKO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AKO', ' 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 name for 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 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: [' AKO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AKO', ' 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: [' AKO', ' APG', ' ASY']\n    DestAirport text, -- destination airport, example: [' AKO', ' 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 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 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: ['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 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 AirportName FROM AIRPORTS WHERE City = \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of airports 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: ['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 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 AirportName FROM AIRPORTS WHERE City = \"Aberdeen\"",
    "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: [' 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:\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 arrive at 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 arrive at 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 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: ['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 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.SourceAirport  =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of flights departing from 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: ['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 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.SourceAirport  =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights arriving 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: ['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 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 WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of flights arriving 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: ['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 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 WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights depart from Aberdeen and arrive at 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: ['Aberdeen ', 'Ashley ', '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: ['Aberdeen ', 'Ashley ', '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 Aberdeen and arrive at 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  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights fly from Aberdeen 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: ['Aberdeen ', 'Ashley ', '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: ['Aberdeen ', 'Ashley ', '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 Aberdeen 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  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights does 'JetBlue Airways' have?",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 'JetBlue Airways' 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 Airways flights.",
    "schema": "CREATE TABLE airlines (\n    uid number, -- airline id, example: [1, 2]\n    Airline text, -- airline name, example: ['JetBlue Airways', '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: ['JetBlue Airways', '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 Airways 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 'United Airlines' flights go to '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: ['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: ['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 'United Airlines' flights go to '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  =  \"United Airlines\" AND T2.DestAirport  =  \"ASY\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of United Airlines flights arriving in 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: ['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: ['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 United Airlines flights arriving in 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  =  \"United Airlines\" AND T2.DestAirport  =  \"ASY\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many 'United Airlines' flights depart from '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:\nHow many 'United Airlines' flights depart from '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  =  \"United Airlines\" AND T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of United Airlines flights leaving from 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:\nReturn the number of United Airlines flights leaving from 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  =  \"United Airlines\" AND T2.SourceAirport  =  \"AHD\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many United Airlines flights go to '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: ['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 United Airlines flights go to '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  =  \"United Airlines\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of United Airlines 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: ['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:\nCount the number of United Airlines 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  =  \"United Airlines\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are airlines that have some flight departing from 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:\nWhat are airlines that have some flight departing from 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 from  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 from  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 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:\nWhat are airlines that have flights arriving at 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 to  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 to  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 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: [' 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:\nFind all airlines that have flights from both 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 ?",
    "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 ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 '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 '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?",
    "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?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "What are flight numbers of \"\"United 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 are flight numbers of \"\"United 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 T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid  =  T1.Airline WHERE T2.Airline  =  \"United Airlines\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which flight numbers correspond to United Airlines 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 flight numbers correspond to United Airlines 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  =  \"United Airlines\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers 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: [' 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:\nWhat are flight numbers 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 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 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:\nWhat are flight numbers of flights arriving 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": "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 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: ['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 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 T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport   =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights leaving from 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: ['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 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 T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport   =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are flight numbers of flights arriving at 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: ['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 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 T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport   =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the flight numbers of flights arriving 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: ['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 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 T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport   =  T2.AirportCode WHERE T2.City  =  \"Aberdeen\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of flights landing in Aberdeen or Abilene.",
    "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 Aberdeen or Abilene.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  \"Aberdeen\" OR T2.city  =  \"Abilene\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many flights land in Aberdeen or Abilene?",
    "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 Aberdeen or Abilene?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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  =  \"Aberdeen\" OR T2.city  =  \"Abilene\"",
    "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": "Sort employee names from youngest to oldest.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nSort employee names from youngest to 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 name FROM employee ORDER BY age",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of employees and sort from youngest to oldest",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employees and sort from youngest to 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 name FROM employee ORDER BY age",
    "external_knowledge": "None"
  },
  {
    "question": "Which cities do more than one employee younger than 30 come from?",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 cities do more than one employee younger than 30 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 city FROM employee WHERE age  <  30 GROUP BY city HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the cities that have more than one employee under  30 year old.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 cities that have more than one employee under  30 year 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 city FROM employee WHERE age  <  30 GROUP BY city HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of shops in each place.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shops in each place.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,  LOCATION FROM shop GROUP BY LOCATION",
    "external_knowledge": "None"
  },
  {
    "question": "How many shops are there in each place?",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shops are there in each place?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,  LOCATION FROM shop GROUP BY LOCATION",
    "external_knowledge": "None"
  },
  {
    "question": "Find the manager name and district of the shop with the most goods.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 manager name and district of the shop with the most goods.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT manager_name ,  district FROM shop ORDER BY number_products DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the manager name and district of the shop that sells the most merchandise?",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 manager name and district of the shop that sells the most merchandise?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT manager_name ,  district FROM shop ORDER BY number_products DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the name, location and district of all shops odered by the amount of goods they sell from the most to the least.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 name, location and district of all shops odered by the amount of goods they sell from the most to the least.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  LOCATION ,  district FROM shop ORDER BY number_products DESC",
    "external_knowledge": "None"
  },
  {
    "question": "Sort all the shops by amount of merchandise in descending order, and return the name, location and district of each shop.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nSort all the shops by amount of merchandise in descending order, and return the name, location and district of each shop.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  LOCATION ,  district FROM shop ORDER BY number_products DESC",
    "external_knowledge": "None"
  },
  {
    "question": "Find the names of stores that have more than average goods.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 names of stores that have more than average goods.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 shop WHERE number_products  >  (SELECT avg(number_products) FROM shop)",
    "external_knowledge": "None"
  },
  {
    "question": "Which shops have more than average merchandise? Give me the shop names.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shops have more than average merchandise? Give me the shop 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 shop WHERE number_products  >  (SELECT avg(number_products) FROM shop)",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of the employee who got the highest one time incentive.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 the employee who got the highest one time incentive.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID  =  t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which employee received the biggest incentive? Give me the employee name.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee received the biggest incentive? Give me the employee 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.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID  =  t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the shop that is recruiting the largest number of employees?",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shop that is recruiting the largest number of employees?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 hiring AS t1 JOIN shop AS t2 ON t1.shop_id  =  t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which shop has the most employees? Give me the shop name.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shop has the most employees? Give me the shop 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.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id  =  t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name of the shops that do not recruit any employee.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 the shops that do not recruit any employee.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)",
    "external_knowledge": "None"
  },
  {
    "question": "Which shops run with no employees? Find the shop names",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 shops run with no employees? Find the shop 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 shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)",
    "external_knowledge": "None"
  },
  {
    "question": "Which district has both stores with less than 3000 goods and stores with more than 10000 goods?",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 district has both stores with less than 3000 goods and stores with more than 10000 goods?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT district FROM shop WHERE Number_products  <  3000 INTERSECT SELECT district FROM shop WHERE Number_products  >  10000",
    "external_knowledge": "None"
  },
  {
    "question": "Find the districts in which there are both shops selling less than 3000 and more than 10000 merchandise.",
    "schema": "CREATE TABLE employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 employee (\n    Employee_ID number, -- example: [1, 2]\n    Name text, -- example: ['George Chuter', 'Lee Mears']\n    Age number, -- example: [23, 29]\n    City text, -- example: ['Bristol', 'Bath']\n    PRIMARY KEY (Employee_ID)\n);\n\nCREATE TABLE shop (\n    Shop_ID number, -- example: [1, 2]\n    Name text, -- example: ['FC Haka', 'HJK']\n    Location text, -- example: ['Valkeakoski', 'Helsinki']\n    District text, -- example: ['Tehtaan kenttä', 'Finnair Stadium']\n    Number_products number, -- example: [3516, 10770]\n    Manager_name text, -- example: ['Olli Huttunen', 'Antti Muurinen']\n    PRIMARY KEY (Shop_ID)\n);\n\nCREATE TABLE hiring (\n    Shop_ID number, -- example: [1, 8]\n    Employee_ID number, -- example: [1, 2]\n    Start_from text, -- example: ['2009', '2003']\n    Is_full_time others, -- example: ['T', 'F']\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_hiring_shop_id FOREIGN KEY (Shop_ID) REFERENCES shop (Shop_ID),\n    CONSTRAINT fk_hiring_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_ID)\n);\n\nCREATE TABLE evaluation (\n    Employee_ID text, -- example: ['1', '10']\n    Year_awarded text, -- example: ['2011', '2016']\n    Bonus number, -- example: [3000.0, 3200.0]\n    PRIMARY KEY (Employee_ID),\n    CONSTRAINT fk_evaluation_employee_id FOREIGN KEY (Employee_ID) REFERENCES employee (Employee_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 districts in which there are both shops selling less than 3000 and more than 10000 merchandise.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT district FROM shop WHERE Number_products  <  3000 INTERSECT SELECT district FROM shop WHERE Number_products  >  10000",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of teachers from youngest to oldest.",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers from youngest to 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 Name FROM teacher ORDER BY Age ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the teachers  from youngest to oldest?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers  from youngest to 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 Name FROM teacher ORDER BY Age ASC",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of teachers who are not from Little Lever Urban District.",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Little Lever Urban District', 'Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Little Lever Urban District', 'Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers who are not from Little Lever Urban District.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 teacher where hometown != \"little lever urban district\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the teachers who do not come from Little Lever Urban District?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Little Lever Urban District', 'Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Little Lever Urban District', 'Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers who do not come from Little Lever Urban District?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 teacher where hometown != \"little lever urban district\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name of teachers who are either 32 or 33 years old?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers who are either 32 or 33 years 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 Name FROM teacher WHERE Age  =  32 OR Age  =  33",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the teachers who are either 32 or 33?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers who are either 32 or 33?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 teacher WHERE Age  =  32 OR Age  =  33",
    "external_knowledge": "None"
  },
  {
    "question": "What is the hometown of the youngest teacher?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 hometown of the youngest teacher?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Where is the youngest teacher from?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_ID)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhere is the youngest teacher 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 Hometown FROM teacher ORDER BY Age ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show different hometown of teachers and the number of teachers from each place.",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 hometown of teachers and the number of teachers from each place.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Hometown ,  COUNT(*) FROM teacher GROUP BY Hometown",
    "external_knowledge": "None"
  },
  {
    "question": "For each place, how many teachers are from there?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 place, how many teachers are from 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 Hometown ,  COUNT(*) FROM teacher GROUP BY Hometown",
    "external_knowledge": "None"
  },
  {
    "question": "List the most common place that the teachers come from",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 most common place that the teachers 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 Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the towns from which at least two teachers come from?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 towns from which at least two teachers 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 Hometown FROM teacher GROUP BY Hometown HAVING COUNT(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "Show the name of the teacher who teaches math .",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Math', 'Language Arts']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Math', 'Language Arts']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teacher who teaches math .\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID  =  T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID  =  T3.Teacher_ID WHERE T2.Course  =  \"Math\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the people who teach math?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Math', 'Language Arts']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Math', 'Language Arts']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 people who teach math?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID  =  T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID  =  T3.Teacher_ID WHERE T2.Course  =  \"Math\"",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of teachers who have not been assigned to teach courses.",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers who have not been assigned to teach courses.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange)",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the teachers whose courses have not been assigned?",
    "schema": "CREATE TABLE course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 course (\n    Course_ID number, -- example: [1, 2]\n    Staring_Date text, -- example: ['5 May', '6 May']\n    Course text, -- example: ['Language Arts', 'Math']\n    PRIMARY KEY (Course_ID)\n);\n\nCREATE TABLE teacher (\n    Teacher_ID number, -- example: [1, 2]\n    Name text, -- example: ['Joseph Huts', 'Gustaaf Deloor']\n    Age text, -- example: ['32', '29']\n    Hometown text, -- example: ['Blackrod Urban District', 'Bolton County Borough']\n    PRIMARY KEY (Teacher_ID)\n);\n\nCREATE TABLE course_arrange (\n    Course_ID number, -- example: [2, 3]\n    Teacher_ID number, -- example: [5, 3]\n    Grade number, -- example: [1, 3]\n    PRIMARY KEY (Course_ID),\n    CONSTRAINT fk_course_arrange_course_id FOREIGN KEY (Course_ID) REFERENCES course (Course_ID),\n    CONSTRAINT fk_course_arrange_teacher_id FOREIGN KEY (Teacher_ID) REFERENCES teacher (Teacher_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 teachers whose courses have not been assigned?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange)",
    "external_knowledge": "None"
  },
  {
    "question": "How many visitors below  30 years old are there?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 visitors below  30 years old 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 visitor WHERE age  <  30",
    "external_knowledge": "None"
  },
  {
    "question": "Find the names of the visitors that is higher than lv 4, and order the results by the level from high to low.",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 names of the visitors that is higher than lv 4, and order the results by the level from high to low.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 visitor WHERE Level_of_membership  >  4 ORDER BY Level_of_membership DESC",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average age of the visitors not higher than lv 4?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 age of the visitors not higher than lv 4?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 visitor WHERE Level_of_membership  <=  4",
    "external_knowledge": "None"
  },
  {
    "question": "Find the id and name of the museum that has the most employees?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 id and name of the museum that has the most employees?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT museum_id ,  name FROM museum ORDER BY num_of_staff DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average number of staff working for the museums that were open before 2009.",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 number of staff working for the museums that were open before 2009.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(num_of_staff) FROM museum WHERE open_year  <  2009",
    "external_knowledge": "None"
  },
  {
    "question": "What are the opening year and staff number of Plaza Museum?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 opening year and staff number of Plaza Museum?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Num_of_Staff ,  Open_Year FROM museum WHERE name  =  'Plaza Museum'",
    "external_knowledge": "None"
  },
  {
    "question": "find the names of museums which have more staff than the minimum of all museums opened after 2010.",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 names of museums which have more staff than the minimum of all museums opened after 2010.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 museum WHERE num_of_staff  >  (SELECT min(num_of_staff) FROM museum WHERE open_year  >  2010)",
    "external_knowledge": "None"
  },
  {
    "question": "find the id, name and age for people who visited some museums more than once.",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 id, name and age for people who visited some museums more than once.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.name ,  t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id  =  t2.visitor_id GROUP BY t1.id HAVING count(*)  >  1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the id, name and membership level of people who have paid the largest amount of money overall in all museum tickets?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 id, name and membership level of people who have paid the largest amount of money overall in all museum tickets?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.visitor_id ,  t1.name ,  t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id  =  t2.visitor_id GROUP BY t2.visitor_id ORDER BY sum(t2.Total_spent) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the id and name of the museum that has people come most times?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 id and name of the museum that has people come 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 t2.Museum_ID ,  t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID  =  t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the museum that had no person come yet?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum that had no person come yet?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 museum WHERE Museum_ID NOT IN (SELECT museum_id FROM visit)",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and age of the people who bought the most tickets at once.",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 age of the people who bought the most tickets at once.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id  =  t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total ticket expense of the lv 1 visitors?",
    "schema": "CREATE TABLE museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 museum (\n    Museum_ID number, -- example: [1, 2]\n    Name text, -- example: ['Plaza Museum', 'Capital Plaza Museum']\n    Num_of_Staff number, -- example: [62, 25]\n    Open_Year text, -- example: ['2000', '2012']\n    PRIMARY KEY (Museum_ID)\n);\n\nCREATE TABLE visitor (\n    ID number, -- customer id, example: [1, 2]\n    Name text, -- example: ['Gonzalo Higuaín ', 'Guti Midfielder']\n    Level_of_membership number, -- example: [8, 5]\n    Age number, -- example: [35, 28]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE visit (\n    Museum_ID number, -- example: [1, 2]\n    visitor_ID text, -- customer id, example: ['5', '3']\n    Num_of_Ticket number, -- example: [20, 4]\n    Total_spent number, -- example: [320.14, 89.98]\n    PRIMARY KEY (Museum_ID),\n    CONSTRAINT fk_visit_museum_id FOREIGN KEY (Museum_ID) REFERENCES museum (Museum_ID),\n    CONSTRAINT fk_visit_visitor_id FOREIGN KEY (visitor_ID) REFERENCES visitor (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 ticket expense of the lv 1 visitors?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id  =  t2.visitor_id WHERE t1.Level_of_membership  =  1",
    "external_knowledge": "None"
  },
  {
    "question": "List the first name and birth date of all players from USA.",
    "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: ['USA', '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: ['USA', '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: ['USA', '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: ['USA', '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 players from USA.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 players from the USA?",
    "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: ['USA', '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: ['USA', '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: ['USA', '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: ['USA', '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 players from the USA?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 name of tournament 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 tournament 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 winners 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 winners 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 winner_name FROM matches WHERE YEAR  =  2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of players who won in both 2013 and 2016?",
    "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:\nWhat are the names of players who won 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 winner_name FROM matches WHERE YEAR  =  2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "List the number of all matches who played in 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 number of all matches who played in 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 count(*) FROM matches WHERE YEAR  =  2013 OR YEAR  =  2016",
    "external_knowledge": "None"
  },
  {
    "question": "How many matches were played in 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:\nHow many matches were played in 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 count(*) 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 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 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 ordered by their age.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['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: ['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 ordered 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 first_name ,  last_name FROM players ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "What are the full names of all players, sorted by age?",
    "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 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 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 handed  in the order of age.",
    "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', '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: ['Hande', 'Martina', 'Mirjana']\n    last_name text, -- example: ['Hande', '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 who are left handed  in the 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 first_name ,  last_name FROM players WHERE hand  =  'L' ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "What are the full names of all left handed players, in order of age?",
    "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:\nWhat are the full names of all left handed players, in 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 first_name ,  last_name FROM players WHERE hand  =  'L' ORDER BY birth_date",
    "external_knowledge": "None"
  },
  {
    "question": "Find the name and rank points of the person 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 person 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 the name of the winner who has the highest rank points and participated in the Australian Open.",
    "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 the name of the winner who has the highest rank points and participated in 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 winner_name FROM matches WHERE tourney_name  =  'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the winner with the most rank points who participated in the Australian Open?",
    "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 is the name of the winner with the most rank points who participated in 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 winner_name FROM matches WHERE tourney_name  =  'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "find the names of loser and winner who played in the match that last for the longest of time.",
    "schema": "CREATE TABLE players (\n    player_id number, -- example: [200001, 200002]\n    first_name text, -- example: ['Martina', 'Mirjana']\n    last_name text, -- example: ['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: ['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:\nfind the names of loser and winner who played in the match that last for the longest of time.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "What are the names of the winner and loser 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:\nWhat are the names of the winner and loser 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 number of players for each nation.",
    "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 nation.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 nation?",
    "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 nation?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 nation 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 nation 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 nation 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 nation 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 nations 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 nations 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 nations 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 nations 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 name and rank of the 3 youngest victors 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 victors 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 victors 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 victors 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": "How many ships ended up being Captured?",
    "schema": "CREATE TABLE battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 ships ended up being Captured?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ship WHERE disposition_of_ship  =  'Captured'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids and names of the battles that led to more than 10 people died.",
    "schema": "CREATE TABLE battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 and names of the battles that led to more than 10 people died.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.name FROM battle AS T1 JOIN ship AS T2 ON T1.id  =  T2.lost_in_battle JOIN death AS T3 ON T2.id  =  T3.caused_by_ship_id GROUP BY T1.id HAVING sum(T3.killed)  >  10",
    "external_knowledge": "None"
  },
  {
    "question": "What is the ship id and name that caused most total injuries?",
    "schema": "CREATE TABLE battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 ship id and name that caused most total injuries?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.id ,  T2.name FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id  =  T2.id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "List the name and date the battle that has lost  Lettice and HMS Atalanta",
    "schema": "CREATE TABLE battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['HMS Atalanta', 'Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['HMS Atalanta', 'Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 and date the battle that has lost  Lettice and HMS Atalanta\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id  =  T2.lost_in_battle WHERE T2.name  =  'Lettice' INTERSECT SELECT T1.name ,  T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id  =  T2.lost_in_battle WHERE T2.name  =  'HMS Atalanta'",
    "external_knowledge": "None"
  },
  {
    "question": "Show names, results and bulgarian commanders of the battles with no ships lost in the 'English Channel'.",
    "schema": "CREATE TABLE battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 battle (\n    id number, -- example: [1, 2]\n    name text, -- example: ['Battle of Adrianople', 'Battle of Serres']\n    `date` text, -- example: ['14 April 1205', 'June 1205']\n    bulgarian_commander text, -- example: ['Kaloyan', 'Unknown']\n    latin_commander text, -- example: ['Baldwin I', 'Unknown']\n    result text, -- example: ['Bulgarian victory', 'Latin victory']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE ship (\n    lost_in_battle number, -- example: [8, 7]\n    id number, -- example: [1, 2]\n    name text, -- example: ['Lettice', 'Bon Accord']\n    tonnage text, -- example: ['t', '391']\n    ship_type text, -- example: ['Brig', '18-gun Brig']\n    location text, -- example: ['English Channel', 'SW Approaches']\n    disposition_of_ship text, -- example: ['Captured', 'Wrecked']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_ship_lost_in_battle FOREIGN KEY (lost_in_battle) REFERENCES battle (id)\n);\n\nCREATE TABLE death (\n    caused_by_ship_id number, -- example: [1, 2]\n    id number, -- example: [1, 2]\n    note text, -- example: ['Dantewada, Chhattisgarh', 'Erraboru, Chhattisgarh']\n    killed number, -- example: [8, 3]\n    injured number, -- example: [0, 9]\n    PRIMARY KEY (id),\n    CONSTRAINT fk_death_caused_by_ship_id FOREIGN KEY (caused_by_ship_id) REFERENCES ship (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 names, results and bulgarian commanders of the battles with no ships lost in the 'English Channel'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  RESULT ,  bulgarian_commander FROM battle EXCEPT SELECT T1.name ,  T1.result ,  T1.bulgarian_commander FROM battle AS T1 JOIN ship AS T2 ON T1.id  =  T2.lost_in_battle WHERE T2.location  =  'English Channel'",
    "external_knowledge": "None"
  },
  {
    "question": "How is the math described?",
    "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: ['math', 'ds']\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: ['math', '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: ['math', 'ds']\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: ['math', '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:\nHow is the math described?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT course_description FROM Courses WHERE course_name  =  'math'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the descriptions for all the math?",
    "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: ['math', 'ds']\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: ['math', '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: ['math', 'ds']\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: ['math', '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 the descriptions for all the math?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT course_description FROM Courses WHERE course_name  =  'math'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the zip code of the address in Port Chelsea?",
    "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 is the zip code of the address in Port Chelsea?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT zip_postcode FROM Addresses WHERE city  =  'Port Chelsea'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the zip code for Port Chelsea?",
    "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 is the zip code for Port Chelsea?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT zip_postcode FROM Addresses WHERE city  =  'Port Chelsea'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the last name of the students who currently live in North Carolina but have not registered in any degree program.",
    "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:\nFind the last name of the students who currently live in North Carolina but have not registered in any degree program.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id  =  T2.address_id WHERE T2.state_province_county  =  'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id  =  T4.student_id",
    "external_knowledge": "None"
  },
  {
    "question": "What are the last name of the students who live in North Carolina but have not registered in any degree programs?",
    "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 the last name of the students who live in North Carolina but have not registered in any degree programs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id  =  T2.address_id WHERE T2.state_province_county  =  'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id  =  T4.student_id",
    "external_knowledge": "None"
  },
  {
    "question": "What is the phone number of Timmothy Ward?",
    "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 is the phone number of Timmothy Ward?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT cell_mobile_number FROM Students WHERE first_name  =  'Timmothy' AND last_name  =  'Ward'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the mobile phone number of the student named Timmothy Ward ?",
    "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 is the mobile phone number of the student named Timmothy Ward ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "select cell_mobile_number from students where first_name  =  'timmothy' and last_name  =  'ward'",
    "external_knowledge": "None"
  },
  {
    "question": "Who is the student register earliest? List the first name, middle name and last name.",
    "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:\nWho is the student register earliest? List the first name, middle name 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 first_name ,  middle_name ,  last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Who is the earliest graduate of the school? List the first name, middle name and last name.",
    "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:\nWho is the earliest graduate of the school? List the first name, middle name 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 first_name ,  middle_name ,  last_name FROM Students ORDER BY date_left ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the first, middle, and last name of the earliest school graduate?",
    "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 is the first, middle, and last name of the earliest school graduate?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  middle_name ,  last_name FROM Students ORDER BY date_left ASC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which place holds the most number of students currently? List the id and all 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:\nWhich place holds the most number of students currently? List the id and all 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 T1.address_id ,  T1.line_1 ,  T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id  =  T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the id, line 1, and line 2 of the place with the most students?",
    "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 is the id, line 1, and line 2 of the place with the most 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 T1.address_id ,  T1.line_1 ,  T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id  =  T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the semester when both Master students and Bachelor students got enrolled in.",
    "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: ['Bachelor', 'Master']\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: ['Bachelor', 'Master']\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:\nFind the semester when both Master students and Bachelor students got enrolled 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 DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id  =  T2.degree_program_id WHERE degree_summary_name  =  'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id  =  T2.degree_program_id WHERE degree_summary_name  =  'Bachelor'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the id of the semester that had both Masters and Bachelors students enrolled?",
    "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: ['Bachelor', 'Master']\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: ['Bachelor', 'Master']\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 is the id of the semester that had both Masters and Bachelors students enrolled?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id  =  T2.degree_program_id WHERE degree_summary_name  =  'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id  =  T2.degree_program_id WHERE degree_summary_name  =  'Bachelor'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the first name of the students who permanently live in Haiti or have the cell phone number 09700166582.",
    "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: ['Haiti', '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: ['Haiti', '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:\nFind the first name of the students who permanently live in Haiti or have the cell phone number 09700166582.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 from students as t1 join addresses as t2 on t1.permanent_address_id  =  t2.address_id where t2.country  =  'haiti' or t1.cell_mobile_number  =  '09700166582'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the first names of the students who live in Haiti permanently or have the cell phone number 09700166582?",
    "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: ['Haiti', '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: ['Haiti', '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 the first names of the students who live in Haiti permanently or have the cell phone number 09700166582?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 from students as t1 join addresses as t2 on t1.permanent_address_id  =  t2.address_id where t2.country  =  'haiti' or t1.cell_mobile_number  =  '09700166582'",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of all cartoons in alphabetical order.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons in alphabetical order.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon ORDER BY title",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the cartoons sorted alphabetically?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons sorted alphabetically?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon ORDER BY title",
    "external_knowledge": "None"
  },
  {
    "question": "List all cartoon Ben Jones directs.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoon Ben Jones directs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Directed_by = \"Ben Jones\";",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all cartoons Ben Jones directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons Ben Jones directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Directed_by = \"Ben Jones\";",
    "external_knowledge": "None"
  },
  {
    "question": "How many cartoons Joseph Kuhr writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Joseph Kuhr', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Joseph Kuhr', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons Joseph Kuhr writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Written_by = \"Joseph Kuhr\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of cartoones  Joseph Kuh writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Joseph Kuhr', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Joseph Kuhr', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 number of cartoones  Joseph Kuh writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Written_by = \"Joseph Kuhr\";",
    "external_knowledge": "None"
  },
  {
    "question": "list all cartoon titles and their directors ordered by the time they broadcasted",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoon titles and their directors ordered by the time they broadcasted\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  Directed_by FROM Cartoon ORDER BY Original_air_date",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name and directors of all the cartoons that are ordered by the time they came out?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 directors of all the cartoons that are ordered by the time they came 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 title ,  Directed_by FROM Cartoon ORDER BY Original_air_date",
    "external_knowledge": "None"
  },
  {
    "question": "List the title of all cartoon  Ben Jones or Brandon Vietti directs.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Brandon Vietti', 'Ben Jones']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Brandon Vietti', 'Ben Jones']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 title of all cartoon  Ben Jones or Brandon Vietti directs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Directed_by = \"Ben Jones\" OR Directed_by = \"Brandon Vietti\";",
    "external_knowledge": "None"
  },
  {
    "question": "What are the titles of all cartoons  Ben Jones or Brandon Vietti directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Brandon Vietti', 'Ben Jones']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Brandon Vietti', 'Ben Jones']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 titles of all cartoons  Ben Jones or Brandon Vietti directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Cartoon WHERE Directed_by = \"Ben Jones\" OR Directed_by = \"Brandon Vietti\";",
    "external_knowledge": "None"
  },
  {
    "question": "Which nation has the most of TV Channels? List the country and number of TV Channels it has.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 nation has the most of TV Channels? List the country and number of TV Channels 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 Country ,  count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the nation with the most number of TV Channels and how many does it have?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 nation with the most number of TV Channels and how many does it 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 Country ,  count(*) FROM TV_Channel GROUP BY Country ORDER BY count(*) DESC LIMIT 1;",
    "external_knowledge": "None"
  },
  {
    "question": "What is the content of TV Channel with \"\"Sky Radio\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 content of TV Channel with \"\"Sky Radio\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Content FROM TV_Channel WHERE series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the content of Sky Radio?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 content of Sky Radio?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Content FROM TV_Channel WHERE series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the Package Option of TV Channel with \"\"Sky Radio\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 Package Option of TV Channel with \"\"Sky Radio\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Package_Option FROM TV_Channel WHERE series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "How many TV Channel using  English?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV Channel using  English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 TV_Channel WHERE LANGUAGE = \"English\";",
    "external_knowledge": "None"
  },
  {
    "question": "How many TV Channels speak English ?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV Channels speak English ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 TV_Channel WHERE LANGUAGE = \"English\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the TV Channel that shows The Rise of the Blue Beetle!? List the TV Channel's series name.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV Channel that shows The Rise of the Blue Beetle!? List the TV Channel's series 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.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = \"The Rise of the Blue Beetle!\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the series name of the TV Channel that shows \"\"The Rise of the Blue Beetle\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 series name of the TV Channel that shows \"\"The Rise of the Blue Beetle\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = \"The Rise of the Blue Beetle!\";",
    "external_knowledge": "None"
  },
  {
    "question": "List the title of all  Cartoons showed on TV Channel with  \"\"Sky Radio\"\".",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 title of all  Cartoons showed on TV Channel with  \"\"Sky Radio\"\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the title of all the cartools that are on the TV Channel with Sky Radio?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 title of all the cartools that are on the TV Channel with Sky Radio?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the air date of \"\"\"\"A Love of a Lifetime\"\"\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 air date of \"\"\"\"A Love of a Lifetime\"\"\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Air_Date FROM TV_series WHERE Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "When did A Love of a Lifetime air?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhen did A Love of a Lifetime air?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Air_Date FROM TV_series WHERE Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is Weekly Rank of TV series with A Love of a Lifetime?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 Weekly Rank of TV series with A Love of a Lifetime?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Weekly_Rank FROM TV_series WHERE Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the weekly rank for the  \"\"\"\"A Love of a Lifetime\"\"\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 weekly rank for the  \"\"\"\"A Love of a Lifetime\"\"\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Weekly_Rank FROM TV_series WHERE Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the TV Channel with \"\"\"\"A Love of a Lifetime\"\"\"\"? List the TV Channel's series name.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV Channel with \"\"\"\"A Love of a Lifetime\"\"\"\"? List the TV Channel's series 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.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the series that has the  \"\"\"\"A Love of a Lifetime\"\"\"\"?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 series that has the  \"\"\"\"A Love of a Lifetime\"\"\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = \"A Love of a Lifetime\";",
    "external_knowledge": "None"
  },
  {
    "question": "List the Episode of all  TV series showed on TV Channel with  \"\"\"\"Sky Radio\"\"\"\".",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 Episode of all  TV series showed on TV Channel with  \"\"\"\"Sky Radio\"\"\"\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "What is the episode for the TV series called Sky Radio?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 episode for the TV series called Sky Radio?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = \"Sky Radio\";",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of cartoons by each of the listed directors.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons by each of the listed directors.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,  Directed_by FROM cartoon GROUP BY Directed_by",
    "external_knowledge": "None"
  },
  {
    "question": "How many cartoons did each director create?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 cartoons did each director create?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,  Directed_by FROM cartoon GROUP BY Directed_by",
    "external_knowledge": "None"
  },
  {
    "question": "Find the production code and channel of the most recently broadcasted cartoon.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 production code and channel of the most recently broadcasted cartoon.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "select production_code ,  channel from cartoon order by original_air_date desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the produdction code and channel of the most recent cartoon?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 produdction code and channel of the most recent cartoon?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "select production_code ,  channel from cartoon order by original_air_date desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the package choice and series name of the TV channel that has HD TV.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 package choice and series name of the TV channel that has HD TV.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT package_option ,  series_name FROM TV_Channel WHERE hight_definition_TV  =  \"yes\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the package options and the name of the series for the TV Channel that supports HDTV?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 package options and the name of the series for the TV Channel that supports HDTV?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT package_option ,  series_name FROM TV_Channel WHERE hight_definition_TV  =  \"yes\"",
    "external_knowledge": "None"
  },
  {
    "question": "which countries' tv channels are playing some cartoon  Todd Casey writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 countries' tv channels are playing some cartoon  Todd Casey writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by  =  'Todd Casey'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the countries that have cartoons on TV that Todd Casey writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 countries that have cartoons on TV that Todd Casey writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by  =  'Todd Casey'",
    "external_knowledge": "None"
  },
  {
    "question": "which countries' tv channels are not playing any cartoon  Todd Casey writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 countries' tv channels are not playing any cartoon  Todd Casey writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by  =  'Todd Casey'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the countries that are not playing cartoons  Todd Casey writes?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Todd Casey', 'Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 countries that are not playing cartoons  Todd Casey writes?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by  =  'Todd Casey'",
    "external_knowledge": "None"
  },
  {
    "question": "Find the series name and country of the tv channel that is playing some cartoons  Ben Jones and Michael Chang directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Michael Chang', 'Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Michael Chang', 'Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 series name and country of the tv channel that is playing some cartoons  Ben Jones and Michael Chang directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.series_name ,  T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by  =  'Michael Chang' INTERSECT SELECT T1.series_name ,  T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by  =  'Ben Jones'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the series name and country of all TV channels that are playing cartoons  Ben Jones and Michael Chang directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Michael Chang', 'Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Michael Chang', 'Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 series name and country of all TV channels that are playing cartoons  Ben Jones and Michael Chang directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.series_name ,  T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by  =  'Michael Chang' INTERSECT SELECT T1.series_name ,  T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by  =  'Ben Jones'",
    "external_knowledge": "None"
  },
  {
    "question": "find the pixel aspect ratio and nation of the tv channels that do not use English.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 pixel aspect ratio and nation of the tv channels that do not use English.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Pixel_aspect_ratio_PAR ,  country FROM tv_channel WHERE LANGUAGE != 'English'",
    "external_knowledge": "None"
  },
  {
    "question": "What is the pixel aspect ratio and country of origin for all TV channels that do not use English?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['English', 'Italian']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 pixel aspect ratio and country of origin for all TV channels that do not use English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Pixel_aspect_ratio_PAR ,  country FROM tv_channel WHERE LANGUAGE != 'English'",
    "external_knowledge": "None"
  },
  {
    "question": "find id of the tv channels that from the nations where have more than two tv channels.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 id of the tv channels that from the nations where have more than two tv channels.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT id FROM tv_channel GROUP BY country HAVING count(*)  >  2",
    "external_knowledge": "None"
  },
  {
    "question": "find the id of tv channels that do not play any cartoon  Ben Jones directs.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 id of tv channels that do not play any cartoon  Ben Jones directs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by  =  'Ben Jones'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the ids of the TV channels that do not have any cartoons  Ben Jones directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 of the TV channels that do not have any cartoons  Ben Jones directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by  =  'Ben Jones'",
    "external_knowledge": "None"
  },
  {
    "question": "find the package option of the tv channel that do not have any cartoon  Ben Jones directs.",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 package option of the tv channel that do not have any cartoon  Ben Jones directs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by  =  'Ben Jones')",
    "external_knowledge": "None"
  },
  {
    "question": "What are the package options of all tv channels that are not playing any cartoons  Ben Jones directs?",
    "schema": "CREATE TABLE TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 TV_Channel (\n    id text, -- example: ['700', '701']\n    series_name text, -- example: ['Sky Radio', 'Sky Music']\n    Country text, -- example: ['Italy', 'United Kingdom']\n    `Language` text, -- example: ['Italian', 'English']\n    Content text, -- example: ['music']\n    Pixel_aspect_ratio_PAR text, -- example: ['4:3', '4:3 / 16:9']\n    Hight_definition_TV text, -- example: ['no', 'yes']\n    Pay_per_view_PPV text, -- example: ['no']\n    Package_Option text, -- example: ['Option', 'Sky Famiglia', 'no ( FTV )']\n    PRIMARY KEY (id)\n);\n\nCREATE TABLE TV_series (\n    id number, -- example: [1.0, 2.0]\n    Episode text, -- example: ['A Love of a Lifetime', 'Friendly Skies']\n    Air_Date text, -- example: ['September 24, 2007', 'October 1, 2007']\n    Rating text, -- example: ['5.8', '5.3']\n    Share number, -- example: [9.0, 7.0]\n    18_49_Rating_Share text, -- example: ['3.5/9', '3.2/8']\n    Viewers_m text, -- example: ['9.16', '8.23']\n    Weekly_Rank number, -- example: [43.0, 50.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_tv_series_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (id)\n);\n\nCREATE TABLE Cartoon (\n    id number, -- example: [1.0, 2.0]\n    Title text, -- example: ['The Rise of the Blue Beetle!', 'Terror on Dinosaur Island!']\n    Directed_by text, -- example: ['Ben Jones', 'Brandon Vietti']\n    Written_by text, -- example: ['Michael Jelenic', 'Steven Melching']\n    Original_air_date text, -- example: ['November14,2008', 'November21,2008']\n    Production_code number, -- example: [101.0, 102.0]\n    Channel text, -- example: ['700', '701']\n    PRIMARY KEY (id),\n    CONSTRAINT fk_cartoon_channel FOREIGN KEY (Channel) REFERENCES TV_Channel (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 package options of all tv channels that are not playing any cartoons  Ben Jones directs?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by  =  'Ben Jones')",
    "external_knowledge": "None"
  },
  {
    "question": "List the mony made by each poker players in descending order.",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 mony made by each poker players in descending order.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Earnings FROM poker_player ORDER BY Earnings DESC",
    "external_knowledge": "None"
  },
  {
    "question": "What is the money rank of the tallest poker player?",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 money rank of the tallest poker 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 T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID  =  T2.People_ID ORDER BY T1.Height DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Return the money rank of the tallest poker player.",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 money rank of the tallest poker 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 T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID  =  T2.People_ID ORDER BY T1.Height DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average earnings of poker players taller than 200?",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 earnings of poker players taller than 200?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID  =  T2.People_ID WHERE T1.Height  >  200",
    "external_knowledge": "None"
  },
  {
    "question": "Give average earnings of poker players who are taller than 200.",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 average earnings of poker players who are taller than 200.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID  =  T2.People_ID WHERE T1.Height  >  200",
    "external_knowledge": "None"
  },
  {
    "question": "What are different nationalities of people and the corresponding number of people from each country?",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 different nationalities of people and the corresponding number of people 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 Nationality ,  COUNT(*) FROM people GROUP BY Nationality",
    "external_knowledge": "None"
  },
  {
    "question": "How many people are there of each country?",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 people are there of 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 Nationality ,  COUNT(*) FROM people GROUP BY Nationality",
    "external_knowledge": "None"
  },
  {
    "question": "Return the countries for which there are two or more people from.",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 countries for which there are two or more people 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 Nationality FROM people GROUP BY Nationality HAVING COUNT(*)  >=  2",
    "external_knowledge": "None"
  },
  {
    "question": "Show names of people who  is not  from Russia.",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 names of people who  is not  from Russia.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 people WHERE Nationality != \"Russia\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of people who are not from Russia?",
    "schema": "CREATE TABLE poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 poker_player (\n    Poker_Player_ID number, -- example: [1, 2]\n    People_ID number, -- example: [1, 2]\n    Final_Table_Made number, -- example: [42.0, 10.0]\n    Best_Finish number, -- example: [1.0, 2.0]\n    Money_Rank number, -- example: [68.0, 141.0]\n    Earnings number, -- example: [476090.0, 189233.0]\n    PRIMARY KEY (Poker_Player_ID),\n    CONSTRAINT fk_poker_player_people_id FOREIGN KEY (People_ID) REFERENCES people (People_ID)\n);\n\nCREATE TABLE people (\n    People_ID number, -- example: [1, 2]\n    Nationality text, -- example: ['Russia', 'Bulgaria']\n    Name text, -- example: ['Aleksey Ostapenko', 'Teodor Salparov']\n    Birth_Date text, -- example: ['May 26, 1986', 'August 16, 1982']\n    Height number, -- example: [207.0, 182.0]\n    PRIMARY KEY (People_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 people who are not from Russia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 people WHERE Nationality != \"Russia\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is last date created of votes from 'CA'?",
    "schema": "CREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['CA', 'NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Edwina Burnam', 'Tabatha Gehling']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['CA', 'NY']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['CA', 'NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Edwina Burnam', 'Tabatha Gehling']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['CA', 'NY']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\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 last date created of votes from 'CA'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(created) FROM votes WHERE state  =  'CA'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the number of votes from 'NY' or 'CA'?",
    "schema": "CREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['CA', 'NY', 'NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Edwina Burnam', 'Tabatha Gehling']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['CA', 'NY']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['CA', 'NY', 'NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Edwina Burnam', 'Tabatha Gehling']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['CA', 'NY']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\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 votes from 'NY' or 'CA'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 votes WHERE state  =  'NY' OR state  =  'CA'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the create dates, states, and phone numbers of the votes that were for 'Tabatha Gehling'?",
    "schema": "CREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Tabatha Gehling', 'Edwina Burnam']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['NY', 'CA']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Tabatha Gehling', 'Edwina Burnam']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['NY', 'CA']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\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 create dates, states, and phone numbers of the votes that were for 'Tabatha Gehling'?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.created ,  T2.state ,  T2.phone_number FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number  =  T2.contestant_number WHERE T1.contestant_name  =  'Tabatha Gehling'",
    "external_knowledge": "None"
  },
  {
    "question": "List the area codes in which voters voted both for 'Tabatha Gehling' and 'Kelly Clauss'.",
    "schema": "CREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Tabatha Gehling', 'Kelly Clauss', 'Edwina Burnam']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['NY', 'CA']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\n);",
    "input_seq": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n\nDatabase Engine:\nSQLite\n\nDatabase Schema:\nCREATE TABLE AREA_CODE_STATE (\n    area_code number, -- example: [201, 202]\n    state text, -- example: ['NJ', 'DC']\n    PRIMARY KEY (area_code)\n);\n\nCREATE TABLE CONTESTANTS (\n    contestant_number number, -- example: [1, 2]\n    contestant_name text, -- example: ['Tabatha Gehling', 'Kelly Clauss', 'Edwina Burnam']\n    PRIMARY KEY (contestant_number)\n);\n\nCREATE TABLE VOTES (\n    vote_id number, -- example: [5, 3]\n    phone_number number, -- example: [5112677315, 6209222712]\n    state text, -- example: ['NY', 'CA']\n    contestant_number number, -- example: [2, 3]\n    created time, -- example: ['2018-03-09 19:03:21', '2018-03-09 19:03:36']\n    PRIMARY KEY (vote_id),\n    CONSTRAINT fk_votes_state FOREIGN KEY (state) REFERENCES AREA_CODE_STATE (state),\n    CONSTRAINT fk_votes_contestant_number FOREIGN KEY (contestant_number) REFERENCES CONTESTANTS (contestant_number)\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 area codes in which voters voted both for 'Tabatha Gehling' and 'Kelly Clauss'.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number  =  T2.contestant_number JOIN area_code_state AS T3 ON T2.state  =  T3.state WHERE T1.contestant_name  =  'Tabatha Gehling' INTERSECT SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number  =  T2.contestant_number JOIN area_code_state AS T3 ON T2.state  =  T3.state WHERE T1.contestant_name  =  'Kelly Clauss'",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all the countries that founded after 1950?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 all the countries that founded after 1950?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE IndepYear  >  1950",
    "external_knowledge": "None"
  },
  {
    "question": "Give the names of the nations that were founded after 1950.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the names of the nations that were founded after 1950.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE IndepYear  >  1950",
    "external_knowledge": "None"
  },
  {
    "question": "How many republic countries are there?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 republic countries 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 country WHERE GovernmentForm  =  \"Republic\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many countries are republic?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries are republic?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE GovernmentForm  =  \"Republic\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total surface area of the countries in the Caribbean ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Caribbean', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Caribbean', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total surface area of the countries in the Caribbean ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(SurfaceArea) FROM country WHERE Region  =  \"Caribbean\"",
    "external_knowledge": "None"
  },
  {
    "question": "How much surface area do the countires in the Carribean cover together?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 surface area do the countires in the Carribean cover together?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(SurfaceArea) FROM country WHERE Region  =  \"Caribbean\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which continent is Anguilla in?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Anguilla', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Anguilla', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Anguilla', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Anguilla', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 continent is Anguilla 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 Continent FROM country WHERE Name  =  \"Anguilla\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the continent  which Anguilla belongs to?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Anguilla', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Anguilla', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Anguilla', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Anguilla', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 continent  which Anguilla belongs 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 Continent FROM country WHERE Name  =  \"Anguilla\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which region is Kabul located in?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 region is Kabul located 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 Region FROM country AS T1 JOIN city AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Name  =  \"Kabul\"",
    "external_knowledge": "None"
  },
  {
    "question": "What region is Kabul in?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 region is Kabul 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 Region FROM country AS T1 JOIN city AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Name  =  \"Kabul\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which language is the most popular in Aruba?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 language is the most popular in Aruba?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Aruba\" ORDER BY Percentage DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What language is predominantly spoken in Aruba?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 language is predominantly spoken in Aruba?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Aruba\" ORDER BY Percentage DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the population and life expectancies in Brazil?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Brazil', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Brazil', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 population and life expectancies in Brazil?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Population ,  LifeExpectancy FROM country WHERE Name  =  \"Brazil\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give me Brazil’s population and life expectancies.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Brazil', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Brazil', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 Brazil’s population and life expectancies.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Population ,  LifeExpectancy FROM country WHERE Name  =  \"Brazil\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the region and population of Angola?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Angola', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Angola', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Angola', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Angola', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 region and population of Angola?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Population ,  Region FROM country WHERE Name  =  \"Angola\"",
    "external_knowledge": "None"
  },
  {
    "question": "What region does Angola belong to and what is its population?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Angola', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Angola', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Angola', 'Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Angola', 'Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 region does Angola belong to and what is its population?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Population ,  Region FROM country WHERE Name  =  \"Angola\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average expected life expectancy for countries in Central Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Central', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Central Africa', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Central', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Central Africa', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 expected life expectancy for countries in Central Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Region  =  \"Central Africa\"",
    "external_knowledge": "None"
  },
  {
    "question": "How long is the people’s average life expectancy in Central Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Central', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Central Africa', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Central', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Central Africa', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 long is the people’s average life expectancy in Central Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Region  =  \"Central Africa\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of country that has the shortest life expectancy in Asia?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 country that has the shortest life expectancy in Asia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Asia\" ORDER BY LifeExpectancy LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Give the name of the country in Asia with the lowest life expectancy.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the name of the country in Asia with the lowest life expectancy.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Asia\" ORDER BY LifeExpectancy LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total population and maximum GNP in Asia?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total population and maximum GNP in Asia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(Population) ,  max(GNP) FROM country WHERE Continent  =  \"Asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many people live in Asia, and what is the largest GNP among them?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 people live in Asia, and what is the largest GNP among 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 sum(Population) ,  max(GNP) FROM country WHERE Continent  =  \"Asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average life expectancy in African countries that are republics?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 life expectancy in African countries that are republics?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Continent  =  \"Africa\" AND GovernmentForm  =  \"Republic\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the average life expectancy for countries in Africa which are republics?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the average life expectancy for countries in Africa which are republics?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Continent  =  \"Africa\" AND GovernmentForm  =  \"Republic\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total surface area of Asia and Europe?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total surface area of Asia and Europe?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(SurfaceArea) FROM country WHERE Continent  =  \"Asia\" OR Continent  =  \"Europe\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the total surface area covered by countries in Asia or Europe.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the total surface area covered by countries in Asia or Europe.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(SurfaceArea) FROM country WHERE Continent  =  \"Asia\" OR Continent  =  \"Europe\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many people live in Gelderland ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Gelderland', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Gelderland', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 people live in Gelderland ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(Population) FROM city WHERE District  =  \"Gelderland\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total population of Gelderland ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Gelderland', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Gelderland', 'Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total population of Gelderland ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(Population) FROM city WHERE District  =  \"Gelderland\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average GNP and total population in all US territory nations?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['US Territory', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['US Territory', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 GNP and total population in all US territory nations?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(GNP) ,  sum(population) FROM country WHERE GovernmentForm  =  \"US Territory\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the mean GNP and total population of nations which are considered US territory.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['US Territory', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['US Territory', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the mean GNP and total population of nations which are considered US territory.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(GNP) ,  sum(population) FROM country WHERE GovernmentForm  =  \"US Territory\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many type of governments are in Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 type of governments are in Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 GovernmentForm) FROM country WHERE Continent  =  \"Africa\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many different forms of governments are there in Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 different forms of governments are there in Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 GovernmentForm) FROM country WHERE Continent  =  \"Africa\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of languages used in Aruba?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total number of languages used in Aruba?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Aruba\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many languages are spoken in Aruba?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 languages are spoken in Aruba?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Aruba\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many official languages does Afghanistan have?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Afghanistan', 'Aruba']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Afghanistan', 'Aruba']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 official languages does Afghanistan 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 country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Afghanistan\" AND IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many official languages are spoken in Afghanistan?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Afghanistan', 'Aruba']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Afghanistan', 'Aruba']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 official languages are spoken in Afghanistan?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Name  =  \"Afghanistan\" AND IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is name of the nation that speaks the largest number of languages?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 name of the nation that speaks the largest number of languages?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Give the name of the nation that uses the greatest amount of languages.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the name of the nation that uses the greatest amount of languages.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which continent has the most diverse languages?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 continent has the most diverse languages?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which continent speaks the most languages?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 continent speaks the most languages?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of nations speak both English and French?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 nations speak both English and 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 T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"French\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the names of nations that speak both English and French.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the names of nations that speak both English and 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 T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"French\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of nations use both English and French officially?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 nations use both English and French officially?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" AND T2.IsOfficial  =  \"T\" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"French\" AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the names of countries officially use English and French",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'French', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the names of countries officially use English and 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 T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" AND T2.IsOfficial  =  \"T\" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"French\" AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the number of distinct continents where Chinese is spoken?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 number of distinct continents where Chinese is spoken?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"Chinese\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many continents speak Chinese?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 continents speak Chinese?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"Chinese\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the regions that use English or Dutch?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 regions that use English or Dutch?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" OR T2.Language  =  \"Dutch\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which regions speak Dutch or English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 regions speak Dutch or English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" OR T2.Language  =  \"Dutch\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the countries where either English or Dutch is officially spoken ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries where either English or Dutch is officially spoken ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country as t1 join countrylanguage as t2 on t1.code  =  t2.countrycode where t2.language  =  \"english\" and isofficial  =  \"t\" union select t1.name from country as t1 join countrylanguage as t2 on t1.code  =  t2.countrycode where t2.language  =  \"dutch\" and isofficial  =  \"t\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which language is the most popular on Asian ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 language is the most popular on Asian ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Continent  =  \"Asia\" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the language that is used by the largest number of Asian nations?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 language that is used by the largest number of Asian nations?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.Continent  =  \"Asia\" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Which languages are spoken by only one republic country?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 languages are spoken by only one republic 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 T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.GovernmentForm  =  \"Republic\" GROUP BY T2.Language HAVING COUNT(*)  =  1",
    "external_knowledge": "None"
  },
  {
    "question": "What languages are only used by a single republic country?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 languages are only used by a single republic 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 T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.GovernmentForm  =  \"Republic\" GROUP BY T2.Language HAVING COUNT(*)  =  1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the city with the most people that uses English.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city with the most people that uses English.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode  =  T2.CountryCode WHERE T2.Language  =  \"English\" ORDER BY T1.Population DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is the most populace city that speaks English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 most populace city that speaks English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode  =  T2.CountryCode WHERE T2.Language  =  \"English\" ORDER BY T1.Population DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the name, population, and life expectancy of the largest Asian country by land?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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, population, and life expectancy of the largest Asian country by land?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  Population ,  LifeExpectancy FROM country WHERE Continent  =  \"Asia\" ORDER BY SurfaceArea DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What is average life expectancy in the countries where English is not used officially ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 average life expectancy in the countries where English is not used officially ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" AND T2.IsOfficial  =  \"T\")",
    "external_knowledge": "None"
  },
  {
    "question": "Give the mean life expectancy of countries in which English is not officially spoken .",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the mean life expectancy of countries in which English is not officially spoken .\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\" AND T2.IsOfficial  =  \"T\")",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of people living in the nations that do not use English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total number of people living in the nations that do not use English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\")",
    "external_knowledge": "None"
  },
  {
    "question": "How many people live in countries that do not speak English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 people live in countries that do not speak English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T2.Language  =  \"English\")",
    "external_knowledge": "None"
  },
  {
    "question": "What is the official language spoken in the country lead by Beatrix?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 official language spoken in the country lead by Beatrix?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.HeadOfState  =  \"Beatrix\" AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the official language used in the country the name of whose chief of state is Beatrix.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 official language used in the country the name of whose chief of state is Beatrix.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE T1.HeadOfState  =  \"Beatrix\" AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of unique official languages spoken in the countries that are founded before 1930?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total number of unique official languages spoken in the countries that are founded before 1930?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE  IndepYear  <  1930 AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "For the countries founded before 1930, what is the total number of distinct official languages?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\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 countries founded before 1930, what is the total number of distinct official languages?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode WHERE  IndepYear  <  1930 AND T2.IsOfficial  =  \"T\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the countries that have greater surface area than any country in Europe?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries that have greater surface area than any country in Europe?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE SurfaceArea  >  (SELECT min(SurfaceArea) FROM country WHERE Continent  =  \"Europe\")",
    "external_knowledge": "None"
  },
  {
    "question": "Which countries larger than that of any country in Europe by land?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries larger than that of any country in Europe by land?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE SurfaceArea  >  (SELECT min(SurfaceArea) FROM country WHERE Continent  =  \"Europe\")",
    "external_knowledge": "None"
  },
  {
    "question": "What are the African countries that have less people than any country in Asia?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 African countries that have less people than any country in Asia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Africa\"  AND population  <  (SELECT max(population) FROM country WHERE Continent  =  \"Asia\")",
    "external_knowledge": "None"
  },
  {
    "question": "Which African countries have fewer people than that of any country in Asia?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 African countries have fewer people than that of any country in Asia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Africa\"  AND population  <  (SELECT min(population) FROM country WHERE Continent  =  \"Asia\")",
    "external_knowledge": "None"
  },
  {
    "question": "Which Asian countries have more people than any country in Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 Asian countries have more people than any country in Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Asia\"  AND population  >  (SELECT max(population) FROM country WHERE Continent  =  \"Africa\")",
    "external_knowledge": "None"
  },
  {
    "question": "What are the Asian countries have more people than that of any country in Africa?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Africa', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 Asian countries have more people than that of any country in Africa?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE Continent  =  \"Asia\"  AND population  >  (SELECT min(population) FROM country WHERE Continent  =  \"Africa\")",
    "external_knowledge": "None"
  },
  {
    "question": "What are the country codes for countries that do not speak English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 country codes for countries that do not speak English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE  =  \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the country codes for countries that do not speak English.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 country codes for countries that do not speak English.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE  =  \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the country codes of countries where people speak other than English?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 country codes of countries where people speak other than English?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 CountryCode FROM countrylanguage WHERE LANGUAGE != \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the country codes for countries in which people does not speak English.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the country codes for countries in which people does not speak English.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 CountryCode FROM countrylanguage WHERE LANGUAGE != \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the codes of the countries that do not speak English and are not Republic?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 codes of the countries that do not speak English and are not Republic?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Code FROM country WHERE GovernmentForm != \"Republic\" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE  =  \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the codes of non republic countries that do not speak Englishs.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Republic', 'Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['DO', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 codes of non republic countries that do not speak Englishs.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT Code FROM country WHERE GovernmentForm != \"Republic\" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE  =  \"English\"",
    "external_knowledge": "None"
  },
  {
    "question": "Which cities are in European countries where English is not spoken officially?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['English', 'Dutch']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 cities are in European countries where English is not spoken officially?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode  =  T1.Code WHERE T1.Continent  =  'Europe' AND T1.Name NOT IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code  =  T4.CountryCode WHERE T4.IsOfficial  =  'T' AND T4.Language  =  'English')",
    "external_knowledge": "None"
  },
  {
    "question": "Whic`h unique cities are in  Asian countries where Chinese is the official ?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\nThis schema describes the database's structure, including tables, columns, primary keys, foreign keys, and any relevant relationships or constraints.\n\nQuestion:\nWhic`h unique cities are in  Asian countries where Chinese is the official ?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 t3.name from country as t1 join countrylanguage as t2 on t1.code  =  t2.countrycode join city as t3 on t1.code  =  t3.countrycode where t2.isofficial  =  't' and t2.language  =  'chinese' and t1.continent  =  \"asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the different names of cities that are in Asia and for which Chinese is used officially .",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['US', 'AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Chinese', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 different names of cities that are in Asia and for which Chinese is used officially .\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 T3.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code  =  T2.CountryCode JOIN city AS T3 ON T1.Code  =  T3.CountryCode WHERE T2.IsOfficial  =  'T' AND T2.Language  =  'Chinese' AND T1.Continent  =  \"Asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the name, independence year, and surface area of the country with the least number of nationalities?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Independence', 'Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Independence', 'Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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, independence year, and surface area of the country with the least number of nationalities?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  SurfaceArea ,  IndepYear FROM country ORDER BY Population LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Give the name, year of independence, and surface area of the country that has the fewest people.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Independence', 'Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Independence', 'Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Ha', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the name, year of independence, and surface area of the country that has the fewest people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  SurfaceArea ,  IndepYear FROM country ORDER BY Population LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "What are the population, name and leader of the largest country by land?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 population, name and leader of the largest country by land?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 ,  population ,  HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of cities in each district who have more people than average?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 cities in each district who have more people 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 count(*) ,  District FROM city WHERE Population  >  (SELECT avg(Population) FROM city) GROUP BY District",
    "external_knowledge": "None"
  },
  {
    "question": "How many cities in each district have more number of people than average?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 cities in each district have more number of people 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 count(*) ,  District FROM city WHERE Population  >  (SELECT avg(Population) FROM city) GROUP BY District",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names and surface areas of the 5 largest countries.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 names and surface areas of the 5 largest 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 Name ,  SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5",
    "external_knowledge": "None"
  },
  {
    "question": "What are names of top 3 countries with most people?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 names of top 3 countries with most people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country ORDER BY Population DESC LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of the 3 most populated countries.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 names of the 3 most populated 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 Name FROM country ORDER BY Population DESC LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the nations with the 3 lowest number of citizens?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 nations with the 3 lowest number of citizens?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country ORDER BY Population ASC LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of the 3 countries with the fewest people.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 names of the 3 countries with the fewest people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country ORDER BY Population ASC LIMIT 3",
    "external_knowledge": "None"
  },
  {
    "question": "how many countries are in Asia?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries are in Asia?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE continent  =  \"Asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of countries in Asia.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Asia', 'North America']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries in Asia.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE continent  =  \"Asia\"",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the countries that are in Europe and have 80000 people?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries that are in Europe and have 80000 people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE continent  =  \"Europe\" AND Population  =  \"80000\"",
    "external_knowledge": "None"
  },
  {
    "question": "Give the names of countries that are in Europe and have 80000 people.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['Europe', 'North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the names of countries that are in Europe and have 80000 people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 country WHERE continent  =  \"Europe\" AND Population  =  \"80000\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total population and average area of countries in North America who is bigger than 3000 square miles",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['North America', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['North America', 'Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total population and average area of countries in North America who is bigger than 3000 square miles\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(population) ,  avg(surfacearea) from country where continent  =  \"north america\" and surfacearea  >  3000",
    "external_knowledge": "None"
  },
  {
    "question": "Give the total population and average  corresponding to countries in Noth America that is bigger than 3000 square miles.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 the total population and average  corresponding to countries in Noth America that is bigger than 3000 square miles.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(population) ,  avg(surfacearea) from country where continent  =  \"north america\" and surfacearea  >  3000",
    "external_knowledge": "None"
  },
  {
    "question": "What are the cities who have more than 160000 people and less than 900000 people?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 cities who have more than 160000 people and less than 900000 people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 city WHERE Population BETWEEN 160000 AND 900000",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of cities that have between 160000 and 900000 people.",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 names of cities that have between 160000 and 900000 people.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 city where population between 160000 and 900000",
    "external_knowledge": "None"
  },
  {
    "question": "What is the language spoken by the largest percentage of people in each nation?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 language spoken by the largest percentage of people in each nation?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT LANGUAGE ,  CountryCode ,  max(Percentage) FROM countrylanguage GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "What are the codes of the different nations, and what are the languages spoken by the greatest percentage of people for each?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 codes of the different nations, and what are the languages spoken by the greatest percentage of people 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 LANGUAGE ,  CountryCode ,  max(Percentage) FROM countrylanguage GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "What is the total number of countries where Spanish is spoken by the largest percentage of people?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 total number of countries where Spanish is spoken by the largest percentage of people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,   max(Percentage) FROM countrylanguage WHERE LANGUAGE  =  \"Spanish\" GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of countries for which Spanish is predominantly spoken .",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 countries for which Spanish is predominantly spoken .\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(*) ,   max(Percentage) FROM countrylanguage WHERE LANGUAGE  =  \"Spanish\" GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "What are the codes of countries where Spanish is spoken by the largest percentage of people?",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 codes of countries where Spanish is spoken by the largest percentage of people?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryCode ,  max(Percentage) FROM countrylanguage WHERE LANGUAGE  =  \"Spanish\" GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "Return the codes of countries for which Spanish is predominantly spoken .",
    "schema": "CREATE TABLE city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 city (\n    ID number, -- example: [129, 1]\n    Name text, -- example: ['Kabul', 'Qandahar']\n    CountryCode text, -- example: ['ABW', 'AFG']\n    District text, -- example: ['Kabol', 'Qandahar']\n    Population number, -- example: [1780000, 237500]\n    PRIMARY KEY (ID),\n    CONSTRAINT fk_city_countrycode FOREIGN KEY (CountryCode) REFERENCES country (Code)\n);\n\nCREATE TABLE sqlite_sequence (\n    name text, -- example: ['city']\n    seq text, -- example: [4079]\n);\n\nCREATE TABLE country (\n    Code text, -- example: ['ABW', 'AFG']\n    Name text, -- example: ['Aruba', 'Afghanistan']\n    Continent text, -- example: ['North America', 'Asia']\n    Region text, -- example: ['Caribbean', 'Southern and Central Asia']\n    SurfaceArea number, -- example: [193.0, 652090.0]\n    IndepYear number, -- indepdent year, example: [1919, 1975]\n    Population number, -- example: [103000, 22720000]\n    LifeExpectancy number, -- example: [78.4, 45.9]\n    GNP number, -- example: [828.0, 5976.0]\n    GNPOld number, -- example: [793.0, 7984.0]\n    LocalName text, -- example: ['Aruba', 'Afganistan/Afqanestan']\n    GovernmentForm text, -- example: ['Nonmetropolitan Territory of The Netherl', 'Islamic Emirate']\n    HeadOfState text, -- example: ['Beatrix', 'Mohammad Omar']\n    Capital number, -- example: [129, 1]\n    Code2 text, -- example: ['AW', 'AF']\n    PRIMARY KEY (Code)\n);\n\nCREATE TABLE countrylanguage (\n    CountryCode text, -- example: ['ABW', 'AFG']\n    `Language` text, -- example: ['Spanish', 'Dutch', 'English']\n    IsOfficial text, -- example: ['T', 'F']\n    Percentage number, -- example: [5.3, 9.5]\n    PRIMARY KEY (CountryCode),\n    CONSTRAINT fk_countrylanguage_countrycode FOREIGN KEY (CountryCode) REFERENCES country (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 codes of countries for which Spanish is predominantly spoken .\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT CountryCode ,  max(Percentage) FROM countrylanguage WHERE LANGUAGE  =  \"Spanish\" GROUP BY CountryCode",
    "external_knowledge": "None"
  },
  {
    "question": "List the names of conductors from youngest to oldest.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 from youngest to 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 Name FROM conductor ORDER BY Age ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors, ordered by how old they are?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 how old they are?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Age ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of conductors who are not from \"\"USA\"\"?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 are not from \"\"USA\"\"?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 non USA conductors.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 non USA 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 descending order of time in which they started?",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 descending order of time in which they started?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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",
    "external_knowledge": "None"
  },
  {
    "question": "Return the record companies of orchestras, sorted ascending by the time they have existed.",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 ascending by the time they have existed.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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",
    "external_knowledge": "None"
  },
  {
    "question": "Find the number of orchestras recorded in \"\"\"\"CD\"\"\"\" or \"\"\"\"DVD\"\"\"\".",
    "schema": "CREATE TABLE conductor (\n    Conductor_ID number, -- example: [1, 2]\n    Name text, -- example: ['Antal Doráti', 'Igor Stravinsky']\n    Age number, -- example: [40, 41]\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: ['DVD', '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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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    Age number, -- example: [40, 41]\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: ['DVD', '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: ['Glebe Park', 'Fir Park']\n    Result text, -- example: ['T', 'F']\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 orchestras recorded in \"\"\"\"CD\"\"\"\" or \"\"\"\"DVD\"\"\"\".\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 orchestra WHERE Major_Record_Format  =  \"CD\" OR Major_Record_Format  =  \"DVD\"",
    "external_knowledge": "None"
  },
  {
    "question": "What grade is Kyle in?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 grade is Kyle 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 grade FROM Highschooler WHERE name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the grade for Kyle.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 grade for Kyle.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT grade FROM Highschooler WHERE name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of all high schoolers in  10.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 all high schoolers in  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 name FROM Highschooler WHERE grade  =  10",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of all high schoolers in  10?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 high schoolers in  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 name FROM Highschooler WHERE grade  =  10",
    "external_knowledge": "None"
  },
  {
    "question": "Show the ID of Kyle.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 ID of Kyle.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT ID FROM Highschooler WHERE name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "What is Kyle's id?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Kyle's 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 ID FROM Highschooler WHERE name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many high schoolers are there in  9 or 10?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 high schoolers are there in  9 or 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 Highschooler WHERE grade  =  9 OR grade  =  10",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of high schoolers in grades 9 or 10.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 high schoolers in grades 9 or 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 Highschooler WHERE grade  =  9 OR grade  =  10",
    "external_knowledge": "None"
  },
  {
    "question": "Show the number of high schoolers for each year.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 number of high schoolers 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 grade ,  count(*) FROM Highschooler GROUP BY grade",
    "external_knowledge": "None"
  },
  {
    "question": "How many high schoolers are in each year?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 high schoolers are 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 grade ,  count(*) FROM Highschooler GROUP BY grade",
    "external_knowledge": "None"
  },
  {
    "question": "Which year has the most high schoolers?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 has the most high schoolers?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT grade FROM Highschooler GROUP BY grade ORDER BY count(*) DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show the names of all of Kyle's friends.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 all of Kyle's friends.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the names of friends of  Kyle.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 friends of  Kyle.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many friends does Kyle have?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 friends does Kyle 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 Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of friends Kyle has.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 friends Kyle 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 count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "How many likes does Kyle have?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 likes does Kyle 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 Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Return the number of likes Kyle has.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Kyle', 'Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 number of likes Kyle 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 count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  \"Kyle\"",
    "external_knowledge": "None"
  },
  {
    "question": "Find the average grade of all students who have some friends.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 grade of all students who have some friends.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)",
    "external_knowledge": "None"
  },
  {
    "question": "What is the average grade of students who have friends?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 grade of students who have friends?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)",
    "external_knowledge": "None"
  },
  {
    "question": "Find the minimum grade of students who have no friends.",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 minimum grade of students who have no friends.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)",
    "external_knowledge": "None"
  },
  {
    "question": "What is the lowest grade of students who do not have any friends?",
    "schema": "CREATE TABLE Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 Highschooler (\n    ID number, -- example: [1025, 1101]\n    name text, -- example: ['Jordan', 'Gabriel']\n    grade number, -- example: [9, 10]\n    PRIMARY KEY (ID)\n);\n\nCREATE TABLE Friend (\n    student_id number, -- example: [1101, 1247]\n    friend_id number, -- example: [1381, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_friend_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_friend_friend_id FOREIGN KEY (friend_id) REFERENCES Highschooler (ID)\n);\n\nCREATE TABLE Likes (\n    student_id number, -- example: [1025, 1247]\n    liked_id number, -- example: [1709, 1689]\n    PRIMARY KEY (student_id),\n    CONSTRAINT fk_likes_student_id FOREIGN KEY (student_id) REFERENCES Highschooler (ID),\n    CONSTRAINT fk_likes_liked_id FOREIGN KEY (liked_id) REFERENCES Highschooler (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 lowest grade of students who do not have any friends?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)",
    "external_knowledge": "None"
  },
  {
    "question": "Which professionals live in 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 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 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 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": "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 person has the most dogs? List the id, first name 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 person has the most dogs? List the id, first name 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 ,  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 id, first name and last name of the person 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 id, first name and last name of the person 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 doctors have done at least two treatments? List theid, role, and first 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 doctors have done at least two treatments? List theid, role, and 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 T1.professional_id ,  T1.role_code ,  T1.first_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": "What are the id, role, and first name of the people 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, role, and first name of the people 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.role_code ,  T1.first_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": "What is the description of the treatment type that is the cheapest overall?",
    "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 is the cheapest overall?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 that is least expensive.",
    "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 that is least expensive.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "Who has paid the largest amount of money in total for their dogs? Show the 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:\nWho has paid the largest amount of money in total for their dogs? Show the 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 id and zip code of the person 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 id and zip code of the person 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": "What are the first name and last name of the professionals who have done treatment cheaper than 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 first name and last name of the professionals who have done treatment cheaper 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 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 is less expansive than the average? Give me theor first names and last 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 is less expansive than the average? Give me theor first names and last 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": "Which dogs are owned by someone who lives in Virginia? 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: ['Virginia', 'Wisconsin']\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: ['Virginia', 'Wisconsin']\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 Virginia? 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 Virginia 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: ['Virginia', 'Wisconsin']\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: ['Virginia', 'Wisconsin']\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 Virginia 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": "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 Hawaii or Wisconsin.",
    "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: ['Wisconsin', 'Hawaii', '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: ['Wisconsin', 'Hawaii', '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 Hawaii or Wisconsin.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Hawaii or Wisconsin?",
    "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: ['Wisconsin', 'Hawaii', '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: ['Wisconsin', 'Hawaii', '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 Hawaii or Wisconsin?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "How many dogs younger than 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 dogs younger 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 count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "Count the number of dogs that are younger than 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 dogs that are younger 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 count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )",
    "external_knowledge": "None"
  },
  {
    "question": "How much is the most recent 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 much is the most recent 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": "Show me the price 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: ['Price', '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: ['Price', '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 price 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": "List the dog name, age and weight of the dogs who have been abandoned?",
    "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 dogs who have been abandoned?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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?",
    "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?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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": "List the name of singers in ascending order of wealth.",
    "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 wealth.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Net_Worth_Millions ASC",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of singers ordered by ascending wealth?",
    "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 wealth?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Net_Worth_Millions ASC",
    "external_knowledge": "None"
  },
  {
    "question": "List the name of singers whose  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 whose  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 who were born either 1948 or 1949?",
    "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 who were born either 1948 or 1949?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 OR Birth_Year  =  1949",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of the singers who born in either 1948 or 1949?",
    "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 born in either 1948 or 1949?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 OR Birth_Year  =  1949",
    "external_knowledge": "None"
  },
  {
    "question": "What is the name of the singer with the largest wealth?",
    "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 largest wealth?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 Net_Worth_Millions DESC LIMIT 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show different nationalities of singers and the number of singers of each.",
    "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 nationalities of singers and the number of singers of 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 Citizenship ,  COUNT(*) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "how many singers are from each 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:\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 Citizenship ,  COUNT(*) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "Please show the most common nationality 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 nationality 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 country for singer?",
    "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 country for 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 citizenship from singer group by citizenship order by count(*) desc limit 1",
    "external_knowledge": "None"
  },
  {
    "question": "Show different nationalities and the maximum net worth of singers of 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:\nShow different nationalities and the maximum net worth of singers of 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 ,  max(Net_Worth_Millions) FROM singer GROUP BY Citizenship",
    "external_knowledge": "None"
  },
  {
    "question": "For each country, what is the maximum 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 country, what is the maximum 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 distinct names of singers that have songs sell  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 sell  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  sold than 300000 copies?",
    "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  sold than 300000 copies?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 citizenship shared by singers born  before 1945 and after 1955.",
    "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 born  before 1945 and after 1955.\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year  >  1955",
    "external_knowledge": "None"
  },
  {
    "question": "What are the citizenships that are shared by singers born  before 1945 and after 1955?",
    "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 born  before 1945 and after 1955?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- 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 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year  >  1955",
    "external_knowledge": "None"
  },
  {
    "question": "What are the names of properties that are either houses or apartments with more than 1 room?",
    "schema": "CREATE TABLE Ref_Feature_Types (\n    feature_type_code text, -- example: ['Amenity', 'Security']\n    feature_type_name text, -- example: ['Amenity, eg Pool.', 'Securiyt, eg Burglar Alarm.']\n    PRIMARY KEY (feature_type_code)\n);\n\nCREATE TABLE Ref_Property_Types (\n    property_type_code text, -- example: ['Apartment', 'House', 'Field']\n    property_type_description text, -- example: ['House, Bungalow, etc.', 'Apartment, Flat, Condo, etc.']\n    PRIMARY KEY (property_type_code)\n);\n\nCREATE TABLE Other_Available_Features (\n    feature_id number, -- example: [2, 3]\n    feature_type_code text, -- example: ['Amenity', 'Security']\n    feature_name text, -- example: ['AirCon', 'Pool']\n    feature_description text, -- example: ['Air Conditioning.', 'Swimming Pool.']\n    PRIMARY KEY (feature_id),\n    CONSTRAINT fk_other_available_features_feature_type_code FOREIGN KEY (feature_type_code) REFERENCES Ref_Feature_Types (feature_type_code)\n);\n\nCREATE TABLE Properties (\n    property_id number, -- example: [1, 2]\n    property_type_code text, -- example: ['Apartment', 'House', 'Other']\n    date_on_market time, -- example: ['1991-06-21 23:52:10', '1990-05-25 23:01:51']\n    date_sold time, -- example: ['1979-05-13 16:58:06', '1990-11-14 19:16:38']\n    property_name text, -- example: ['park', 'the cole']\n    property_address text, -- example: ['4745 Emerson Stravenue Suite 829\\nSouth G', '098 Tremaine Highway Suite 569\\nSouth Wil']\n    room_count number, -- example: [7, 1]\n    vendor_requested_price number, -- example: [372652.2909, 661536468.4429]\n    buyer_offered_price number, -- example: [1.68, 8.7122]\n    agreed_selling_price number, -- example: [4201.8, 21769471.8328]\n    apt_feature_1 text, -- example: ['aut', 'est']\n    apt_feature_2 text, -- example: ['suscipit', 'est']\n    apt_feature_3 text,\n    fld_feature_1 text,\n    fld_feature_2 text,\n    fld_feature_3 text,\n    hse_feature_1 text,\n    hse_feature_2 text,\n    hse_feature_3 text,\n    oth_feature_1 text,\n    oth_feature_2 text,\n    oth_feature_3 text,\n    shp_feature_1 text,\n    shp_feature_2 text,\n    shp_feature_3 text,\n    other_property_details text,\n    PRIMARY KEY (property_id),\n    CONSTRAINT fk_properties_property_type_code FOREIGN KEY (property_type_code) REFERENCES Ref_Property_Types (property_type_code)\n);\n\nCREATE TABLE Other_Property_Features (\n    property_id number, -- example: [15, 12]\n    feature_id number, -- example: [3, 4]\n    property_feature_description text, -- example: ['dolorem', 'earum']\n    CONSTRAINT fk_other_property_features_property_id FOREIGN KEY (property_id) REFERENCES Properties (property_id),\n    CONSTRAINT fk_other_property_features_feature_id FOREIGN KEY (feature_id) REFERENCES Other_Available_Features (feature_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_Feature_Types (\n    feature_type_code text, -- example: ['Amenity', 'Security']\n    feature_type_name text, -- example: ['Amenity, eg Pool.', 'Securiyt, eg Burglar Alarm.']\n    PRIMARY KEY (feature_type_code)\n);\n\nCREATE TABLE Ref_Property_Types (\n    property_type_code text, -- example: ['Apartment', 'House', 'Field']\n    property_type_description text, -- example: ['House, Bungalow, etc.', 'Apartment, Flat, Condo, etc.']\n    PRIMARY KEY (property_type_code)\n);\n\nCREATE TABLE Other_Available_Features (\n    feature_id number, -- example: [2, 3]\n    feature_type_code text, -- example: ['Amenity', 'Security']\n    feature_name text, -- example: ['AirCon', 'Pool']\n    feature_description text, -- example: ['Air Conditioning.', 'Swimming Pool.']\n    PRIMARY KEY (feature_id),\n    CONSTRAINT fk_other_available_features_feature_type_code FOREIGN KEY (feature_type_code) REFERENCES Ref_Feature_Types (feature_type_code)\n);\n\nCREATE TABLE Properties (\n    property_id number, -- example: [1, 2]\n    property_type_code text, -- example: ['Apartment', 'House', 'Other']\n    date_on_market time, -- example: ['1991-06-21 23:52:10', '1990-05-25 23:01:51']\n    date_sold time, -- example: ['1979-05-13 16:58:06', '1990-11-14 19:16:38']\n    property_name text, -- example: ['park', 'the cole']\n    property_address text, -- example: ['4745 Emerson Stravenue Suite 829\\nSouth G', '098 Tremaine Highway Suite 569\\nSouth Wil']\n    room_count number, -- example: [7, 1]\n    vendor_requested_price number, -- example: [372652.2909, 661536468.4429]\n    buyer_offered_price number, -- example: [1.68, 8.7122]\n    agreed_selling_price number, -- example: [4201.8, 21769471.8328]\n    apt_feature_1 text, -- example: ['aut', 'est']\n    apt_feature_2 text, -- example: ['suscipit', 'est']\n    apt_feature_3 text,\n    fld_feature_1 text,\n    fld_feature_2 text,\n    fld_feature_3 text,\n    hse_feature_1 text,\n    hse_feature_2 text,\n    hse_feature_3 text,\n    oth_feature_1 text,\n    oth_feature_2 text,\n    oth_feature_3 text,\n    shp_feature_1 text,\n    shp_feature_2 text,\n    shp_feature_3 text,\n    other_property_details text,\n    PRIMARY KEY (property_id),\n    CONSTRAINT fk_properties_property_type_code FOREIGN KEY (property_type_code) REFERENCES Ref_Property_Types (property_type_code)\n);\n\nCREATE TABLE Other_Property_Features (\n    property_id number, -- example: [15, 12]\n    feature_id number, -- example: [3, 4]\n    property_feature_description text, -- example: ['dolorem', 'earum']\n    CONSTRAINT fk_other_property_features_property_id FOREIGN KEY (property_id) REFERENCES Properties (property_id),\n    CONSTRAINT fk_other_property_features_feature_id FOREIGN KEY (feature_id) REFERENCES Other_Available_Features (feature_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 properties that are either houses or apartments with more than 1 room?\n\nInstructions:\n- Make sure you only output the information that is asked in the question. If the question asks for a specific column, make sure to only include that column in the SELECT clause, nothing more.\n- The generated query should return all of the information asked in the question without any missing or extra information.\n- Before generating the final SQL query, please think through the steps of how to write the query.\n\nOutput Format:\nIn your answer, please enclose the generated SQL query in a code block:\n```sql\n-- Your SQL query\n```\n\nTake a deep breath and think step by step to find the correct SQL query.\n",
    "output_seq": "SELECT property_name FROM Properties WHERE property_type_code  =  \"House\" UNION SELECT property_name FROM Properties WHERE property_type_code  =  \"Apartment\" AND room_count  >  1",
    "external_knowledge": "None"
  }
]