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QCRI/MultiNativQA

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Use restrictions

The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at 018bd34
Licence files: No licence file at the top level of the repositoryEvidence: file list at 018bd34
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

question-answering

Citation text from the card

@inproceedings{hasan-etal-2025-nativqa,
    title = "{N}ativ{QA}: Multilingual Culturally-Aligned Natural Query for {LLM}s",
    author = "Hasan, Md. Arid  and
      Hasanain, Maram  and
      Ahmad, Fatema  and
      Laskar, Sahinur Rahman  and
      Upadhyay, Sunaya  and
      Sukhadia, Vrunda N  and
      Kutlu, Mucahid  and
      Chowdhury, Shammur Absar  and
      Alam, Firoj",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-acl.770/",
    doi = "10.18653/v1/2025.findings-acl.770",
    pages = "14886--14909",
    ISBN = "979-8-89176-256-5",
    abstract = "Natural Question Answering (QA) datasets play a crucial role in evaluating the capabilities of large language models (LLMs), ensuring their effectiveness in real-world applications. Despite the numerous QA datasets that have been developed and some work done in parallel, there is a notable lack of a framework and large-scale region-specific datasets queried by native users in their own languages. This gap hinders effective benchmarking and the development of fine-tuned models for regional and cultural specificities. In this study, we propose a scalable, language-independent framework,

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dataset_licence({ "id": "QCRI/MultiNativQA" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0