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FQuAD: French Question Answering Dataset

arXiv 2002.06071 ↗First posted 14 Feb 2020cs.CL cs.AI cs.LGcited by 58

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Abstract (arXiv)

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/.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Feb 2020.

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Citing papers per year: 2021: 13; 2022: 12; 2023: 12; 2024: 6; 2025: 10; 2026: 5.

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  1. 2023The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variantscited by 300
  2. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  3. 2021GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrievalcited by 39
  4. 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selectioncited by 33
  5. 2022Generative Language Models for Paragraph-Level Question Generationcited by 28
  6. 2021Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalancited by 26
  7. 2022Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resourcescited by 25
  8. 2023AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languagescited by 23
  9. 2022Cedille: A large autoregressive French language modelcited by 20
  10. 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
  11. 2023An Efficient Multilingual Language Model Compression through Vocabulary Trimmingcited by 19
  12. 2022PQuAD: A Persian Question Answering Datasetcited by 14
38 more
  1. 2021ParaShoot: A Hebrew Question Answering Datasetcited by 12
  2. 2022MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languagescited by 11
  3. 2025ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performancecited by 11
  4. 2023A Practical Toolkit for Multilingual Question and Answer Generationcited by 10
  5. 2021Sentence Extraction-Based Machine Reading Comprehension for Vietnamesecited by 9
  6. 2021Compositional Generalization in Multilingual Semantic Parsing over Wikidatacited by 9
  7. 2021PAGnol: An Extra-Large French Generative Modelcited by 9
  8. 2025Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understandingcited by 9
  9. 2022On the Usability of Transformers-based models for a French Question-Answering taskcited by 8
  10. 2023Data-Efficient French Language Modeling with CamemBERTacited by 8
  11. 2021FQuAD2.0: French Question Answering and knowing that you know nothingcited by 7
  12. 2022JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehensioncited by 7
  13. 2022VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehensioncited by 7
  14. 2023NorQuAD: Norwegian Question Answering Datasetcited by 7
  15. 2025MultiWikiQA: A Reading Comprehension Benchmark in 300+ Languagescited by 7
  16. 2021UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehensioncited by 6
  17. 2023Alloprof: a new French question-answer education dataset and its use in an information retrieval case studycited by 6
  18. 2023The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intentscited by 6
  19. 2026MoE Lens -- An Expert Is All You Needcited by 6
  20. 2021A Survey on non-English Question Answering Datasetcited by 5
  21. 2023Multilingual Event Extraction from Historical Newspaper Advertscited by 5
  22. 2024PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguesecited by 5
  23. 2024TIGQA:An Expert Annotated Question Answering Dataset in Tigrinyacited by 5
  24. 2022Pir'a: A Bilingual Portuguese-English Dataset for Question-Answering about the Oceancited by 4
  25. 2022DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domaincited by 4
  26. 2025MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMscited by 4
  27. 2026The Embedder's Dilemma: LLMs Are Better, but at What Cost?cited by 4
  28. 2021EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering Systemcited by 2
  29. 2022XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Sourcecited by 2
  30. 2025A Collection of Question Answering Datasets for Norwegiancited by 2
  31. 2025Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Datacited by 2
  32. 2025COLE: a Comprehensive Benchmark for French Language Understanding Evaluationcited by 2
  33. 2021Improving Cross-Lingual Reading Comprehension with Self-Trainingcited by 1
  34. 2022Question Answering and Question Generation for Finnishcited by 1
  35. 2023AmQA: Amharic Question Answering Datasetcited by 1
  36. 2025Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotationscited by 1
  37. 2026CARTE: A Benchmark for Mapping Language Model Knowledge Across Francecited by 1
  38. 2021Structured Pattern Pruning Using Regularizationcited by 0

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