{"url":"/dataset/lleqa","name":"LLeQA","full_name":"Long-form Legal Question Answering","description_markdown":"LLeQA is a French native dataset for studying information retrieval and long-form question answering in the legal domain. It consists of a knowledge corpus of 27,941 statutory articles collected from the Belgian legislation, and 1,868 legal questions posed by Belgian citizens and labeled by experienced jurists with a comprehensive answer rooted in relevant articles from the corpus.","description_withheld":null,"homepage":"https://huggingface.co/datasets/maastrichtlawtech/lleqa","introduced_date":"2023-09-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/interpretable-long-form-legal-question","title":"Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models","first_author":"Antoine Louis","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":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Retrieval","url":"/task/retrieval","datasets_with_task":"/datasets/task/retrieval"},{"name":"Text Retrieval","url":"/task/text-retrieval","datasets_with_task":"/datasets/task/text-retrieval"},{"name":"Generative Question Answering","url":"/task/generative-question-answering","datasets_with_task":"/datasets/task/generative-question-answering"},{"name":"Topic Classification","url":"/task/topic-classification","datasets_with_task":"/datasets/task/topic-classification"},{"name":"Long Form Question Answering","url":"/task/long-form-question-answering","datasets_with_task":"/datasets/task/long-form-question-answering"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["LLeQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/maastrichtlawtech/bsard","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/maastrichtlawtech/lleqa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/maastrichtlawtech/lleqa","url":"https://huggingface.co/datasets/maastrichtlawtech/lleqa","frameworks":["pytorch"]},{"repo":"https://github.com/maastrichtlawtech/lleqa","url":"https://github.com/maastrichtlawtech/lleqa","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}