{"url":"/dataset/daccord","name":"DACCORD","full_name":null,"description_markdown":"DACCORD is a new dataset dedicated to the task of automatically detecting contradictions between sentences in French. \r\n\r\nThe dataset is currently composed of 1034 sentence pairs. It covers the themes of Russia’s invasion of Ukraine in 2022, the Covid-19 pandemic, and the climate crisis.","description_withheld":null,"homepage":"","introduced_date":"2023-06-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/daccord-un-jeu-de-donnees-pour-la-detection","title":"DACCORD : un jeu de données pour la Détection Automatique d'énonCés COntRaDictoires en français","first_author":"Maximos Skandalis","url":null},"license":{"name":"BSD-2-Clause \"Simplified\" License","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Binary text classification","url":"/task/binary-text-classification","datasets_with_task":"/datasets/task/binary-text-classification"},{"name":"Text Pair Classification","url":"/task/text-pair-classification","datasets_with_task":"/datasets/task/text-pair-classification"},{"name":"Sentence-Pair Classification","url":"/task/sentence-pair-classification","datasets_with_task":"/datasets/task/sentence-pair-classification"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["DACCORD"],"data_loaders":[{"repo":"https://github.com/mskandalis/daccord-dataset-contradictions","url":"https://github.com/mskandalis/daccord-dataset-contradictions","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}