{
 "id": "nguyenthanhasia/vn-legal-qa",
 "owner": "nguyenthanhasia",
 "name": "vn-legal-qa",
 "downloads": 10,
 "likes": 1,
 "last_modified": "2026-07-24T13:06:39.000Z",
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 "licence_name": null,
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 "file_licence": null,
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 "gated": "manual",
 "tasks": [
  "question-answering",
  "text-retrieval"
 ],
 "citation": "@inproceedings{kien-etal-2020-answering,\n    title = \"Answering Legal Questions by Learning Neural Attentive Text Representation\",\n    author = \"Kien, Phi Manh  and\n      Nguyen, Ha-Thanh  and\n      Bach, Ngo Xuan  and\n      Tran, Vu  and\n      Nguyen, Minh Le  and\n      Phuong, Tu Minh\",\n    booktitle = \"Proceedings of the 28th International Conference on Computational Linguistics\",\n    month = \"December\",\n    year = \"2020\",\n    address = \"Barcelona, Spain (Online)\",\n    publisher = \"International Committee on Computational Linguistics\",\n    url = \"https://aclanthology.org/2020.coling-main.86/\",\n    doi = \"10.18653/v1/2020.coling-main.86\",\n    pages = \"988--998\",\n}\n\n@misc{pham2022multistageinformationretrievalvietnamese,\n      title={Multi-stage Information Retrieval for Vietnamese Legal Texts}, \n      author={Pham, Nhat-Minh and Nguyen, Ha-Thanh and Do, Trong-Hop},\n      year={2022},\n      eprint={2209.14494},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2209.14494}\n}",
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 "revision": "377283cde862d728cb93787d511af9e1ddfdb01b",
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}