{
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        "description": "Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.\n",
        "citation": "@InProceedings{keraron-EtAl:2020:LREC,\n  author    = {Keraron, Rachel  and  Lancrenon, Guillaume  and  Bras, Mathilde  and  Allary, Fr\u00e9d\u00e9ric  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}\n",
        "homepage": "https://piaf.etalab.studio",
        "license": "",
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