{"url":"/dataset/fquad","name":"FQuAD","full_name":"French Question Answering Dataset","description_markdown":"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.\r\n\r\nSource: [FQuAD: French Question Answering Dataset](/paper/fquad-french-question-answering-dataset)","description_withheld":null,"homepage":"https://fquad.illuin.tech/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/fquad-french-question-answering-dataset","title":"FQuAD: French Question Answering Dataset","first_author":"Martin d'Hoffschmidt","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["FQuAD"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/illuin/fquad","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/abdouaziiz/fquad","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/fquad","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":21,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/question-answering-on-fquad-1","task":"Question Answering","dataset_variant":"FQuAD","rows":7,"metrics":["EM","F1"],"first_row_in_archive_order":{"model":"CamemBERT-Large","paper":"/paper/fquad-french-question-answering-dataset","metrics":{"EM":"82.1","F1":"92.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/on-the-importance-of-pre-training-data-volume","title":"On the importance of pre-training data volume for compact language models","date":"2020-10-08","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/project-piaf-building-a-native-french-1","title":"Project PIAF: Building a Native French Question-Answering Dataset","date":"2020-07-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fquad-french-question-answering-dataset","title":"FQuAD: French Question Answering Dataset","date":"2020-02-14","rows_on_this_dataset":4,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}