{"url":"/dataset/legal-documents-entity-recognition","name":"Legal Documents Entity Recognition","full_name":null,"description_markdown":"Court decisions from 2017 and 2018 were selected for the dataset, published online by the Federal Ministry of Justice and Consumer Protection. The documents originate from seven federal courts: Federal Labour Court (BAG), Federal Fiscal Court (BFH), Federal Court of Justice (BGH), Federal Patent Court (BPatG), Federal Social Court (BSG), Federal Constitutional Court (BVerfG) and Federal Administrative Court (BVerwG).\r\n\r\nSource: [Legal Documents Entity Recognition](https://github.com/elenanereiss/Legal-Entity-Recognition)","description_withheld":null,"homepage":"https://github.com/elenanereiss/Legal-Entity-Recognition","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["Legal Documents Entity Recognition"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/elenanereiss/german_legal_entity_recognition","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/german_legal_entity_recognition","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/elenanereiss/Legal-Entity-Recognition","url":"https://github.com/elenanereiss/Legal-Entity-Recognition","frameworks":[]}],"num_papers_in_archive":0,"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."}