{
 "id": "RegNLP/ObliQA-MP",
 "owner": "RegNLP",
 "name": "ObliQA-MP",
 "downloads": 71,
 "likes": 0,
 "last_modified": "2026-02-24T11:58:50.000Z",
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 "gated": false,
 "tasks": [
  "question-answering",
  "text-retrieval"
 ],
 "citation": "@inproceedings{gokhan-briscoe-2026-synthetic-compliance,\n  title={Synthetic Compliance for Regulatory RAG: A Progressive Benchmark Suite from Simple to Complex Queries},\n  author={Tuba Gokhan and Ted Briscoe},\n  year={2026}\n}\n\n@inproceedings{gokhan-briscoe-2025-grounded,\n    title = \"Grounded Answers from Multi-Passage Regulations: Learning-to-Rank for Regulatory {RAG}\",\n    author = \"Gokhan, Tuba  and\n      Briscoe, Ted\",\n    editor = \"Aletras, Nikolaos  and\n      Chalkidis, Ilias  and\n      Barrett, Leslie  and\n      Goanț{\\u{a}}, C{\\u{a}}t{\\u{a}}lina  and\n      Preoțiuc-Pietro, Daniel  and\n      Spanakis, Gerasimos\",\n    booktitle = \"Proceedings of the Natural Legal Language Processing Workshop 2025\",\n    month = nov,\n    year = \"2025\",\n    address = \"Suzhou, China\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.nllp-1.10/\",\n    doi = \"10.18653/v1/2025.nllp-1.10\",\n    pages = \"135--146\",\n    ISBN = \"979-8-89176-338-8\",\n}",
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 "revision": "bd9d838a72db1ed7ff3ed94d0f20fe98c4d3839d",
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}