All datasets / afrimedqa

afrimedqa/afrimedqa_v2

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Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 3b4382f
Licence files: No licence file at the top level of the repositoryEvidence: file list at 3b4382f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

question-answering

Citation text from the card

@inproceedings{nimo-etal-2025-afrimed,
    title = "{A}fri{M}ed-{QA}: A Pan-{A}frican, Multi-Specialty, Medical Question-Answering Benchmark Dataset",
    author = {Nimo, Charles  and
      Olatunji, Tobi  and
      Owodunni, Abraham Toluwase  and
      Abdullahi, Tassallah  and
      Ayodele, Emmanuel  and
      Sanni, Mardhiyah  and
      Aka, Ezinwanne C.  and
      Omofoye, Folafunmi  and
      Yuehgoh, Foutse  and
      Faniran, Timothy  and
      Dossou, Bonaventure F. P.  and
      Yekini, Moshood O.  and
      Kemp, Jonas  and
      Heller, Katherine A  and
      Omeke, Jude Chidubem  and
      Md, Chidi Asuzu  and
      Etori, Naome A  and
      Ndiaye, A{\"i}m{\'e}rou  and
      Okoh, Ifeoma  and
      Ocansey, Evans Doe  and
      Kinara, Wendy  and
      Best, Michael L.  and
      Essa, Irfan  and
      Moore, Stephen Edward  and
      Fourie, Chris  and
      Asiedu, Mercy Nyamewaa},
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.acl-long.96/",
    doi = "10.18653/v1/2025.acl-long.96",
    pages = "1948--1973",
    ISBN = "979-8-89176-251-0",
    abstract = "Recent advancements in large langu

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A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "afrimedqa/afrimedqa_v2" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0