Project PIAF: Building a Native French Question-Answering Dataset

2020/07/02 by Rachel Keraron, Keraron, Rachel, Guillaume Lancrenon +13 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2007.00968

openalex publication_date 2020/07/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

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.

Citations

• CamemBERT: a Tasty French Language Model

Cited by

• COLE: a Comprehensive Benchmark for French Language Understanding Evaluation

Related

• FQuAD: French Question Answering Dataset
• A Survey on non-English Question Answering Dataset
• FQuAD2.0: French Question Answering and knowing that you know nothing
• On the Usability of Transformers-based models for a French Question-Answering task
• Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question\n Answering