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{
"plain_text": {
"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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"builder_name": "piaf",
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