{ "@context": { "@vocab": "https://schema.org/", "FileObject": "https://mlcommons.org/croissant/FileObject", "Table": "https://mlcommons.org/croissant/Table", "Column": "https://mlcommons.org/croissant/Column", "dataType": "https://mlcommons.org/croissant/dataType", "image": "https://mlcommons.org/croissant/image", "list": "https://mlcommons.org/croissant/list", "int": "http://www.w3.org/2001/XMLSchema#int", "string": "http://www.w3.org/2001/XMLSchema#string" }, "@type": "Dataset", "name": "symbolic-qna", "description": "A symbolic reasoning dataset with shape-image programs and multiple choice questions.", "source": { "url": "https://huggingface.co/datasets/anonymoussifaka/mathtakestwo" }, "data": [ { "@type": "FileObject", "name": "qna_file", "description": "QnA data in Parquet format.", "encodingFormat": "application/parquet", "url": "https://huggingface.co/datasets/anonymoussifaka/mathtakestwo/resolve/main/data/train-00000-of-00001.parquet", "contains": { "@type": "Table", "name": "qna_table", "description": "Main QnA table with image-based questions and answers.", "columns": [ { "@type": "Column", "name": "query", "description": "The main query image rendered from a symbolic program.", "dataType": "image" }, { "@type": "Column", "name": "option_0", "description": "Candidate answer option 0.", "dataType": "image" }, { "@type": "Column", "name": "option_1", "description": "Candidate answer option 1.", "dataType": "image" }, { "@type": "Column", "name": "option_2", "description": "Candidate answer option 2.", "dataType": "image" }, { "@type": "Column", "name": "option_3", "description": "Candidate answer option 3.", "dataType": "image" }, { "@type": "Column", "name": "answer", "description": "Correct option index (0–3).", "dataType": "int" }, { "@type": "Column", "name": "program", "description": "The symbolic program string that generated the query.", "dataType": "string" }, { "@type": "Column", "name": "option_symbols", "description": "Symbolic program strings for each of the four options.", "dataType": "list[string]" } ] } } ], "licenses": [ { "name": "MIT License", "identifier": "MIT" } ], "keywords": ["symbolic reasoning", "vision-language", "compositionality"] }