Datasets:

MiliLab
/

AnesBench

- {"@context": {"@language": "en", "@vocab": "https://schema.org/", "arrayShape": "cr:arrayShape", "citeAs": "cr:citeAs", "column": "cr:column", "conformsTo": "dct:conformsTo", "cr": "http://mlcommons.org/croissant/", "data": {"@id": "cr:data", "@type": "@json"}, "dataBiases": "cr:dataBiases", "dataCollection": "cr:dataCollection", "dataType": {"@id": "cr:dataType", "@type": "@vocab"}, "dct": "http://purl.org/dc/terms/", "extract": "cr:extract", "field": "cr:field", "fileProperty": "cr:fileProperty", "fileObject": "cr:fileObject", "fileSet": "cr:fileSet", "format": "cr:format", "includes": "cr:includes", "isArray": "cr:isArray", "isLiveDataset": "cr:isLiveDataset", "jsonPath": "cr:jsonPath", "key": "cr:key", "md5": "cr:md5", "parentField": "cr:parentField", "path": "cr:path", "personalSensitiveInformation": "cr:personalSensitiveInformation", "recordSet": "cr:recordSet", "references": "cr:references", "regex": "cr:regex", "repeated": "cr:repeated", "replace": "cr:replace", "sc": "https://schema.org/", "separator": "cr:separator", "source": "cr:source", "subField": "cr:subField", "transform": "cr:transform"}, "@type": "sc:Dataset", "distribution": [{"@type": "cr:FileObject", "@id": "repo", "name": "repo", "description": "The Hugging Face git repository.", "contentUrl": "https://huggingface.co/datasets/MiliLab/AnesBench/tree/refs%2Fconvert%2Fparquet", "encodingFormat": "git+https", "sha256": "https://github.com/mlcommons/croissant/issues/80"}], "recordSet": [], "conformsTo": "http://mlcommons.org/croissant/1.1", "name": "AnesBench", "description": "\n\t\n\t\t\n\t\tDataset Description\n\t\n\nAnesBench is designed to assess anesthesiology-related reasoning capabilities of Large Language Models (LLMs). It contains 4,427 anesthesiology questions in English. Each question is labeled with a three-level categorization of cognitive demands and includes Chinese-English translations, enabling evaluation of LLMs\u2019 knowledge, application, and clinical reasoning abilities across diverse linguistic contexts.\n\n\t\n\t\t\n\t\n\t\n\t\tJSON Sample\n\t\n\n {\n \"id\":\u2026 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", "\ud83c\uddfa\ud83c\uddf8 Region: US", "biology", "medical"], "url": "https://huggingface.co/datasets/MiliLab/AnesBench"}