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Law Stack Exchange

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Description Dataset from the Law Stack Exchange, as used in "Parameter-Efficient Legal Domain Adaptation" (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 ## Citation Information @inproceedings{li-etal-2022-parameter, title = "Parameter-Efficient Legal Domain Adaptation", author = "Li, Jonathan and Bhambhoria, Rohan and Zhu, Xiaodan", booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2022", month = dec, year = "2022", address = "Abu Dhabi, United Arab Emirates (Hybrid)", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.nllp-1.10", pages = "119--129", }