FQuAD: French Question Answering Dataset

Abstract

Recent advances in the field of language modeling have improved state-of-the-art results on many Natural Language Processing tasks. Among them, Reading Comprehension has made significant progress over the past few years. However, most results are reported in English since labeled resources available in other languages, such as French, remain scarce. In the present work, we introduce the French Question Answering Dataset (FQuAD). FQuAD is a French Native Reading Comprehension dataset of questions and answers on a set of Wikipedia articles that consists of 25,000+ samples for the 1.0 version and 60,000+ samples for the 1.1 version. We train a baseline model which achieves an F1 score of 92.2 and an exact match ratio of 82.1 on the test set. In order to track the progress of French Question Answering models we propose a leader-board and we have made the 1.0 version of our dataset freely available at https://illuin-tech.github.io/FQuAD-explorer/.

arXiv comment15 pages, 5 figures

References in corpus (7)

• HuggingFace's Transformers: State-of-the-art Natural Language Processing
• CamemBERT: a Tasty French Language Model
• On the Cross-lingual Transferability of Monolingual Representations
• Know What You Don't Know: Unanswerable Questions for SQuAD
• Multilingual Extractive Reading Comprehension by Runtime Machine Translation
• KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension
• Multilingual Question Answering from Formatted Text applied to Conversational Agents

Cited by in corpus (10)

• CamemBERT: a Tasty French Language Model
• QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
• Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
• Multilingual Question Answering from Formatted Text applied to Conversational Agents
• XOR QA: Cross-lingual Open-Retrieval Question Answering
• FQuAD2.0: French Question Answering and knowing that you know nothing
• EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
• El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks
• Improving Cross-Lingual Reading Comprehension with Self-Training
• Sentence Extraction-Based Machine Reading Comprehension for Vietnamese