{
 "id": "GEM/dart",
 "owner": "GEM",
 "name": "dart",
 "downloads": 578,
 "likes": 1,
 "last_modified": "2022-10-24T15:30:16.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "table-to-text"
 ],
 "citation": "@inproceedings{nan-etal-2021-dart,\n    title = \"{DART}: Open-Domain Structured Data Record to Text Generation\",\n    author = \"Nan, Linyong  and\n      Radev, Dragomir  and\n      Zhang, Rui  and\n      Rau, Amrit  and\n      Sivaprasad, Abhinand  and\n      Hsieh, Chiachun  and\n      Tang, Xiangru  and\n      Vyas, Aadit  and\n      Verma, Neha  and\n      Krishna, Pranav  and\n      Liu, Yangxiaokang  and\n      Irwanto, Nadia  and\n      Pan, Jessica  and\n      Rahman, Faiaz  and\n      Zaidi, Ahmad  and\n      Mutuma, Mutethia  and\n      Tarabar, Yasin  and\n      Gupta, Ankit  and\n      Yu, Tao  and\n      Tan, Yi Chern  and\n      Lin, Xi Victoria  and\n      Xiong, Caiming  and\n      Socher, Richard  and\n      Rajani, Nazneen Fatema\",\n    booktitle = \"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies\",\n    month = jun,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.naacl-main.37\",\n    doi = \"10.18653/v1/2021.naacl-main.37\",\n    pages = \"432--447\",\n    abstract = \"We present DART, an open domain structured DAta Record to Text generation dataset with over 82k instances (DARTs). Data-to-text annotations can be a costly process, especially when dealing with tables which are the major source of structured data and contain nontrivial structures. To this end, we propose a procedure of extracting semantic t",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "0e97cc8d6efa6858ae6a510a2a65a37271ba1309",
 "stated_evidence": "https://huggingface.co/datasets/GEM/dart/blob/0e97cc8d6efa6858ae6a510a2a65a37271ba1309/README.md",
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 "card_nc": false
}