{
 "id": "next-tat/TAT-QA",
 "owner": "next-tat",
 "name": "TAT-QA",
 "downloads": 11503,
 "likes": 3,
 "last_modified": "2024-10-11T02:59:51.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "```bash\n@inproceedings{zhu2021tat,\n    title = \"{TAT}-{QA}: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance\",\n    author = \"Zhu, Fengbin  and\n      Lei, Wenqiang  and\n      Huang, Youcheng  and\n      Wang, Chao  and\n      Zhang, Shuo  and\n      Lv, Jiancheng  and\n      Feng, Fuli  and\n      Chua, Tat-Seng\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.254\",\n    doi = \"10.18653/v1/2021.acl-long.254\",\n    pages = \"3277--3287\"\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive."
}