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 Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5481–5490
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.673
- DOI:
- Cite (ACL):
- Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, and Jacopo Staiano. 2020. Project PIAF: Building a Native French Question-Answering Dataset. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5481–5490, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Project PIAF: Building a Native French Question-Answering Dataset (Keraron et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2020.lrec-1.673.pdf
- Code
- etalab/piaf
- Data
- FQuAD, French Wikipedia, SQuAD