{"url":"/dataset/fresada","name":"FreSaDa","full_name":null,"description_markdown":"FreSaDa is a French satire dataset for cross-domain satire detection, which is composed of 11,570 articles from the news domain. The dataset samples have been split into training, validation and test, such that the training publication sources are distinct from the validation and test publication sources. This gives rise to a cross-domain (cross-source) satire detection task.","description_withheld":null,"homepage":"https://github.com/adrianchifu/FreSaDa","introduced_date":"2021-04-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/fresada-a-french-satire-data-set-for-cross","title":"FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection","first_author":"Radu Tudor Ionescu","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["FreSaDa"],"data_loaders":[{"repo":"https://github.com/adrianchifu/FreSaDa","url":"https://github.com/adrianchifu/FreSaDa","frameworks":[]}],"num_papers_in_archive":3,"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."}