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projetogabi/healthbench-multilingual

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The declared licence (mit) is classified as permissive.

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Citation text from the card

@article{daddario2026aegis1,
  title   = {AEGIS-1: A Context-Aware Translated Medical Dataset for Global Health Data Equity},
  author  = {D'addario, Andrew},
  year    = {2026},
  month   = feb,
  journal = {arXiv preprint arXiv:XXXX.XXXXX},
  url     = {https://arxiv.org/abs/XXXX.XXXXX}
}

@techreport{arora2025healthbench,
  title       = {HealthBench: Evaluating Large Language Models Towards Improved Human Health},
  author      = {Arora, Rahul K. and Wei, Jason and {Soskin Hicks}, Rebecca and Bowman, Preston
                 and {Qui{\~n}onero-Candela}, Joaquin and Tsimpourlas, Foivos and Sharman, Michael
                 and Shah, Meghan and Vallone, Andrea and Beutel, Alex and Heidecke, Johannes
                 and Singhal, Karan},
  institution = {OpenAI},
  year        = {2025},
  url         = {https://cdn.openai.com/pdf/bd7a39d5-9e9f-47b3-903c-8b847ca650c7/healthbench_paper.pdf}
}

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dataset_licence({ "id": "projetogabi/healthbench-multilingual" })
signal: "permissive"
stated_licence: "mit"
sources: 0