{
 "id": "vadis/sv-ident",
 "owner": "vadis",
 "name": "sv-ident",
 "downloads": 94,
 "likes": 4,
 "last_modified": "2022-11-07T20:51:06.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{tsereteli-etal-2022-overview,\n    title = \"Overview of the {SV}-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications\",\n    author = \"Tsereteli, Tornike  and\n      Kartal, Yavuz Selim  and\n      Ponzetto, Simone Paolo  and\n      Zielinski, Andrea  and\n      Eckert, Kai  and\n      Mayr, Philipp\",\n    booktitle = \"Proceedings of the Third Workshop on Scholarly Document Processing\",\n    month = oct,\n    year = \"2022\",\n    address = \"Gyeongju, Republic of Korea\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.sdp-1.29\",\n    pages = \"229--246\",\n    abstract = \"In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022. In the shared task, participants were provided with a sentence and a vocabulary of variables, and asked to identify which variables, if any, are mentioned in individual sentences from scholarly documents in full text. Two teams made a total of 9 submissions to the shared task leaderboard. While none of the teams improve on the baseline systems, we still draw insights from their submissions. Furthermore, we provide a detailed evaluation. Data and baselines for our shared task are freely available at \\url{https://github.com/vadis-project/sv-ident}.\",\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "a5994401ede160334e601cf243bb5b632f2d1e32",
 "stated_evidence": "https://huggingface.co/datasets/vadis/sv-ident/blob/a5994401ede160334e601cf243bb5b632f2d1e32/README.md",
 "file_evidence": "https://huggingface.co/datasets/vadis/sv-ident/tree/a5994401ede160334e601cf243bb5b632f2d1e32",
 "card_nc": false
}