Datasets:

MiliLab
/

AnesBench

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~~Intro~~\n\t\n\nAnesBench is designed to assess anesthesiology-related reasoning capabilities of Large Language Models (LLMs). ~~\nIt~~ contains 4,427 anesthesiology questions in English. ~~\nEach~~ question is labeled with a three-level categorization of cognitive demands and includes Chinese-English translations, ~~\nenabling~~ evaluation of LLMs’ knowledge, application, and clinical reasoning abilities across diverse linguistic contexts.\n\n\t\n\t\t\n\t\t🔥 ~~Update~~\n\t\n\~~n2025.03.31~~\n\~~nWe~~ ~~released the AnesBench…~~ See the full description on the dataset page: https://huggingface.co/datasets/MiliLab/AnesBench.","alternateName":["MiliLab/AnesBench"],"creator":{"@type":"Organization","name":"Mili Lab","url":"https://huggingface.co/MiliLab"},"keywords":["question-answering","English","Chinese","1K - 10K","json","Tabular","Text","Datasets","pandas","Croissant","Polars","🇺🇸 Region: US","biology","medical"],"url":"https://huggingface.co/datasets/MiliLab/AnesBench"}
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