{
 "id": "AgentPublic/piaf",
 "owner": "AgentPublic",
 "name": "piaf",
 "downloads": 676,
 "likes": 14,
 "last_modified": "2024-08-08T06:05:05.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@InProceedings{keraron-EtAl:2020:LREC,\n  author    = {Keraron, Rachel  and  Lancrenon, Guillaume  and  Bras, Mathilde  and  Allary, FrÃ©dÃ©ric  and  Moyse, Gilles  and  Scialom, Thomas  and  Soriano-Morales, Edmundo-Pavel  and  Staiano, Jacopo},\n  title     = {Project PIAF: Building a Native French Question-Answering Dataset},\n  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},\n  month          = {May},\n  year           = {2020},\n  address        = {Marseille, France},\n  publisher      = {European Language Resources Association},\n  pages     = {5483--5492},\n  abstract  = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.},\n  url       = {https://www.aclweb.org/anthology/2020.lrec-1.673}\n}",
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 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "bda8c063bc7297180796cd835d1974c0bc71c521",
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}