{"url":"/dataset/legal-advice-reddit","name":"Legal Advice Reddit","full_name":null,"description_markdown":"## Dataset Summary\r\n\r\nNew dataset introduced in [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10) (Li et al., 2022) from the Legal Advice Reddit community (known as \"/r/legaldvice\"), sourcing the Reddit posts from the Pushshift\r\nReddit dataset. The dataset maps the text and title of each legal question posted into one of eleven classes, based on the original Reddit\r\npost's \"flair\" (i.e., tag). Questions are typically informal and use non-legal-specific language. Per the Legal Advice Reddit rules, posts \r\nmust be about actual personal circumstances or situations. We limit the number of labels to the top eleven classes and remove the other \r\nsamples from the dataset.\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/legal-advice-reddit","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":"Reddit API Terms","url":"https://www.reddit.com/wiki/api-terms/"},"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":["Legal Advice Reddit"],"data_loaders":[],"num_papers_in_archive":1,"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."}