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--- |
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language: |
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- en |
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tags: |
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- reddit |
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- law |
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pretty_name: Legal Advice Reddit |
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--- |
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# Dataset Card for Legal Advice Reddit Dataset |
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## Dataset Description |
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- **Paper: [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10/)** |
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- **Point of Contact: [email protected]** |
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### Dataset Summary |
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New dataset introduced in [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10) (Li et al., NLLP 2022) from the Legal Advice Reddit community (known as "/r/legaldvice"), sourcing the Reddit posts from the Pushshift |
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Reddit dataset. The dataset maps the text and title of each legal question posted into one of eleven classes, based on the original Reddit |
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post's "flair" (i.e., tag). Questions are typically informal and use non-legal-specific language. Per the Legal Advice Reddit rules, posts |
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must be about actual personal circumstances or situations. We limit the number of labels to the top eleven classes and remove the other |
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samples from the dataset. |
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### Citation Information |
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``` |
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@inproceedings{li-etal-2022-parameter, |
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title = "Parameter-Efficient Legal Domain Adaptation", |
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author = "Li, Jonathan and |
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Bhambhoria, Rohan and |
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Zhu, Xiaodan", |
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booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2022", |
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month = dec, |
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year = "2022", |
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address = "Abu Dhabi, United Arab Emirates (Hybrid)", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2022.nllp-1.10", |
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pages = "119--129", |
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} |
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``` |
