Project PIAF: Building a Native French Question-Answering Dataset

Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano


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.
Anthology ID:
2020.lrec-1.673
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5481–5490
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.673
DOI:
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.673.pdf
Code
 etalab/piaf
Data
FQuADFrench WikipediaSQuAD