{"url":"/dataset/lexglue","name":"LexGLUE","full_name":null,"description_markdown":"Legal General Language Understanding Evaluation (LexGLUE) benchmark is a collection of datasets for evaluating model performance across a diverse set of legal NLU tasks in a standardized way.\r\n\r\nImage source: [https://arxiv.org/pdf/2110.00976v1.pdf](https://arxiv.org/pdf/2110.00976v1.pdf)","description_withheld":null,"homepage":"https://github.com/coastalcph/lex-glue","introduced_date":"2021-10-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/lexglue-a-benchmark-dataset-for-legal","title":"LexGLUE: A Benchmark Dataset for Legal Language Understanding in English","first_author":"Ilias Chalkidis","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LexGLUE"],"data_loaders":[],"num_papers_in_archive":46,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/natural-language-understanding-on-lexglue","task":"Natural Language Understanding","dataset_variant":"LexGLUE","rows":8,"metrics":["ECtHR Task A","ECtHR Task B","SCOTUS","EUR-LEX","LEDGAR","UNFAIR-ToS","CaseHOLD"],"first_row_in_archive_order":{"model":"BERT","paper":"/paper/lexglue-a-benchmark-dataset-for-legal","metrics":{"CaseHOLD":"70.7","ECtHR Task A":"71.4 / 64.0","ECtHR Task B":"87.6 / 77.8","EUR-LEX":"71.6 / 55.6","LEDGAR":"87.7 / 82.2","SCOTUS":"70.5 / 60.9","UNFAIR-ToS":"87.5 / 81.0"},"code_links":[{"title":"coastalcph/lex-glue","url":"https://github.com/coastalcph/lex-glue"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/lexglue-a-benchmark-dataset-for-legal","title":"LexGLUE: A Benchmark Dataset for Legal Language Understanding in English","date":"2021-10-03","rows_on_this_dataset":7,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/the-unreasonable-effectiveness-of-the","title":"The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification","date":"2021-09-15","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"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."}