Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
39d3baf
1
Parent(s):
04646bb
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -71
dataset_infos.json
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{
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"default": {
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"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",
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"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",
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"homepage": "https://www.tau-nlp.org/commonsenseqa",
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"license": "",
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"features": {
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"id": {
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"dtype": "string",
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"_type": "Value"
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},
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"question": {
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"dtype": "string",
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"_type": "Value"
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},
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"question_concept": {
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"dtype": "string",
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"_type": "Value"
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},
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"choices": {
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"feature": {
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"label": {
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"dtype": "string",
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"_type": "Value"
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},
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"text": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"_type": "Sequence"
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},
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"answerKey": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "commonsense_qa",
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"dataset_name": "commonsense_qa",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 2207794,
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"num_examples": 9741,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 273848,
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"num_examples": 1221,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 257842,
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"num_examples": 1140,
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"dataset_name": null
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}
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},
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"download_size": 1558570,
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"dataset_size": 2739484,
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"size_in_bytes": 4298054
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}
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}
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