Papers › Project PIAF: Building a Native French Question-Answering Dataset
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
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.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Question Answering | FQuAD | Camembert-Base-SquadFR-Fquad-Piaf | EM | 77.0 | #4 of 7 | Archive leaderboard | report |
| Question Answering | FQuAD | Camembert-Base-SquadFR-Fquad-Piaf | F1 | 88.4 | #4 of 7 | Archive leaderboard | report |
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