{
 "id": "thunlp/docred",
 "owner": "thunlp",
 "name": "docred",
 "downloads": 14365,
 "likes": 27,
 "last_modified": "2023-06-14T14:07:55.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval"
 ],
 "citation": "@inproceedings{yao-etal-2019-docred,\n    title = \"{D}oc{RED}: A Large-Scale Document-Level Relation Extraction Dataset\",\n    author = \"Yao, Yuan  and\n      Ye, Deming  and\n      Li, Peng  and\n      Han, Xu  and\n      Lin, Yankai  and\n      Liu, Zhenghao  and\n      Liu, Zhiyuan  and\n      Huang, Lixin  and\n      Zhou, Jie  and\n      Sun, Maosong\",\n    booktitle = \"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2019\",\n    address = \"Florence, Italy\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/P19-1074\",\n    doi = \"10.18653/v1/P19-1074\",\n    pages = \"764--777\",\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive."
}