Project PIAF: Building a Native French Question-Answering Dataset

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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Results from the Paper


Ranked #4 on Question Answering on FQuAD (using extra training data)

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Task Dataset Model Metric Name Metric Value Global Rank Uses Extra
Training Data
Result Benchmark
Question Answering FQuAD Camembert-Base-SquadFR-Fquad-Piaf EM 77.0 # 4
F1 88.4 # 3

Methods


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