{"url":"/dataset/law-stack-exchange","name":"Law Stack Exchange","full_name":null,"description_markdown":"## Description\r\nDataset from the Law Stack Exchange, as used in [\"Parameter-Efficient Legal Domain Adaptation\"](https://aclanthology.org/2022.nllp-1.10/) (Li et al., 2022). We introduce a dataset with data from the Law Stack Exchange. This dataset is composed of questions from the Law Stack Exchange, which is a community forum-based website containing questions with answers to legal questions.  We link the questions with their associated tags (e.g., \"copyright\" or \"criminal-law\"), and perform a multi-label classification task\r\n\r\n## Citation Information\r\n```\r\n@inproceedings{li-etal-2022-parameter,\r\n    title = \"Parameter-Efficient Legal Domain Adaptation\",\r\n    author = \"Li, Jonathan  and\r\n      Bhambhoria, Rohan  and\r\n      Zhu, Xiaodan\",\r\n    booktitle = \"Proceedings of the Natural Legal Language Processing Workshop 2022\",\r\n    month = dec,\r\n    year = \"2022\",\r\n    address = \"Abu Dhabi, United Arab Emirates (Hybrid)\",\r\n    publisher = \"Association for Computational Linguistics\",\r\n    url = \"https://aclanthology.org/2022.nllp-1.10\",\r\n    pages = \"119--129\",\r\n}\r\n```","description_withheld":null,"homepage":"https://huggingface.co/datasets/jonathanli/law-stack-exchange","introduced_date":"2022-10-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/parameter-efficient-legal-domain-adaptation","title":"Parameter-Efficient Legal Domain Adaptation","first_author":"Jonathan Li","url":null},"license":{"name":"CC BY-SA 3.0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Law Stack Exchange"],"data_loaders":[],"num_papers_in_archive":2,"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."}