{"url":"/dataset/ecthr","name":"ECtHR","full_name":"European Court of Human Rights Cases","description_markdown":"ECtHR is a dataset comprising European Court of Human Rights cases, including annotations for paragraph-level rationales. This dataset comprises 11k ECtHR cases and can be viewed as an enriched version of the ECtHR dataset of Chalkidis et al. (2019), which did not provide ground truth for alleged article violations (articles discussed) and rationales. It is released with silver rationales obtained from references in court decisions, and gold rationales provided by ECHR-experienced lawyers","description_withheld":null,"homepage":"https://archive.org/details/ECtHR-NAACL2021","introduced_date":"2021-03-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/paragraph-level-rationale-extraction-through","title":"Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases","first_author":"Ilias Chalkidis","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":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ECtHR"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/AUEB-NLP/ecthr_cases","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/ecthr_cases","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":30,"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."}