{"url":"/dataset/french-cass-dataset","name":"French CASS dataset","full_name":null,"description_markdown":"Composed of judgments from the French Court of cassation and their corresponding summaries.\r\n\r\nSource: [STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings](/paper/strass-a-light-and-effective-method-for)","description_withheld":null,"homepage":"https://github.com/euranova/CASS-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/strass-a-light-and-effective-method-for","title":"STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings","first_author":"Léo Bouscarrat","url":null},"license":null,"modalities":[],"tasks":[{"name":"Sentence Embeddings","url":"/task/sentence-embeddings","datasets_with_task":"/datasets/task/sentence-embeddings"},{"name":"Sentence Embedding","url":"/task/sentence-embedding","datasets_with_task":"/datasets/task/sentence-embedding"},{"name":"Document Embedding","url":"/task/document-embedding","datasets_with_task":"/datasets/task/document-embedding"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["French CASS dataset"],"data_loaders":[{"repo":"https://github.com/euranova/CASS-dataset","url":"https://github.com/euranova/CASS-dataset","frameworks":[]}],"num_papers_in_archive":1,"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."}