{"url":"/dataset/ildc","name":"ILDC","full_name":"Indian Legal Documents Corpus","description_markdown":"The **ILDC** dataset (Indian Legal Documents Corpus) is a large corpus of 35k Indian Supreme Court cases annotated with original court decisions. A portion of the corpus (a separate test set) is annotated with gold standard explanations by legal experts. The dataset is used for Court Judgment Prediction and Explanation (CJPE). The task requires an automated system to predict an explainable outcome of a case.","description_withheld":null,"homepage":"https://github.com/Exploration-Lab/CJPE","introduced_date":"2021-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/ildc-for-cjpe-indian-legal-documents-corpus","title":"ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation","first_author":"Vijit Malik","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://github.com/Exploration-Lab/CJPE/blob/main/CC-BY-NC"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["ILDC"],"data_loaders":[{"repo":"https://github.com/Exploration-Lab/CJPE","url":"https://github.com/Exploration-Lab/CJPE","frameworks":["tf","pytorch"]}],"num_papers_in_archive":16,"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."}