All datasets / RegNLP
RegNLP/ObliQA-MP
The declared licence (apache-2.0) is classified as permissive.
- Declared licence
- apache-2.0, from the tagEvidence: README.md at bd9d838
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at bd9d838
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{gokhan-briscoe-2026-synthetic-compliance,
title={Synthetic Compliance for Regulatory RAG: A Progressive Benchmark Suite from Simple to Complex Queries},
author={Tuba Gokhan and Ted Briscoe},
year={2026}
}
@inproceedings{gokhan-briscoe-2025-grounded,
title = "Grounded Answers from Multi-Passage Regulations: Learning-to-Rank for Regulatory {RAG}",
author = "Gokhan, Tuba and
Briscoe, Ted",
editor = "Aletras, Nikolaos and
Chalkidis, Ilias and
Barrett, Leslie and
Goanț{\u{a}}, C{\u{a}}t{\u{a}}lina and
Preoțiuc-Pietro, Daniel and
Spanakis, Gerasimos",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2025",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.nllp-1.10/",
doi = "10.18653/v1/2025.nllp-1.10",
pages = "135--146",
ISBN = "979-8-89176-338-8",
}
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dataset_licence({ "id": "RegNLP/ObliQA-MP" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0