{
 "id": "UKPLab/PeerQA",
 "owner": "UKPLab",
 "name": "PeerQA",
 "downloads": 547,
 "likes": 6,
 "last_modified": "2025-05-07T07:57:16.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
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 "licence_link": "https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-generation",
  "text-classification",
  "text-retrieval"
 ],
 "citation": "@inproceedings{baumgartner-etal-2025-peerqa,\n    title = \"{P}eer{QA}: A Scientific Question Answering Dataset from Peer Reviews\",\n    author = {Baumg{\\\"a}rtner, Tim  and\n      Briscoe, Ted  and\n      Gurevych, Iryna},\n    editor = \"Chiruzzo, Luis  and\n      Ritter, Alan  and\n      Wang, Lu\",\n    booktitle = \"Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)\",\n    month = apr,\n    year = \"2025\",\n    address = \"Albuquerque, New Mexico\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.naacl-long.22/\",\n    pages = \"508--544\"\n}",
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}