Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
{ | |
"default": { | |
"description": "CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge\nto predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.\nThe dataset is provided in two major training/validation/testing set splits: \"Random split\" which is the main evaluation\nsplit, and \"Question token split\", see paper for details.\n", | |
"citation": "@inproceedings{talmor-etal-2019-commonsenseqa,\n title = \"{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge\",\n author = \"Talmor, Alon and\n Herzig, Jonathan and\n Lourie, Nicholas and\n Berant, Jonathan\",\n booktitle = \"Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)\",\n month = jun,\n year = \"2019\",\n address = \"Minneapolis, Minnesota\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/N19-1421\",\n doi = \"10.18653/v1/N19-1421\",\n pages = \"4149--4158\",\n archivePrefix = \"arXiv\",\n eprint = \"1811.00937\",\n primaryClass = \"cs\",\n}\n", | |
"homepage": "https://www.tau-nlp.org/commonsenseqa", | |
"license": "", | |
"features": { | |
"id": { | |
"dtype": "string", | |
"_type": "Value" | |
}, | |
"question": { | |
"dtype": "string", | |
"_type": "Value" | |
}, | |
"question_concept": { | |
"dtype": "string", | |
"_type": "Value" | |
}, | |
"choices": { | |
"feature": { | |
"label": { | |
"dtype": "string", | |
"_type": "Value" | |
}, | |
"text": { | |
"dtype": "string", | |
"_type": "Value" | |
} | |
}, | |
"_type": "Sequence" | |
}, | |
"answerKey": { | |
"dtype": "string", | |
"_type": "Value" | |
} | |
}, | |
"builder_name": "commonsense_qa", | |
"dataset_name": "commonsense_qa", | |
"config_name": "default", | |
"version": { | |
"version_str": "1.0.0", | |
"major": 1, | |
"minor": 0, | |
"patch": 0 | |
}, | |
"splits": { | |
"train": { | |
"name": "train", | |
"num_bytes": 2207794, | |
"num_examples": 9741, | |
"dataset_name": null | |
}, | |
"validation": { | |
"name": "validation", | |
"num_bytes": 273848, | |
"num_examples": 1221, | |
"dataset_name": null | |
}, | |
"test": { | |
"name": "test", | |
"num_bytes": 257842, | |
"num_examples": 1140, | |
"dataset_name": null | |
} | |
}, | |
"download_size": 1558570, | |
"dataset_size": 2739484, | |
"size_in_bytes": 4298054 | |
} | |
} |