kkl4 commited on
Commit
13a1930
·
verified ·
1 Parent(s): f416e2c

Upload meta.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. meta.json +1 -1
meta.json CHANGED
@@ -1 +1 @@
1
- {"@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"}, {"@type": "cr:FileSet", "@id": "parquet-files-for-config-default", "containedIn": {"@id": "repo"}, "encodingFormat": "application/x-parquet", "includes": "default/*/*.parquet"}], "recordSet": [{"@type": "cr:RecordSet", "dataType": "cr:Split", "key": {"@id": "default_splits/split_name"}, "@id": "default_splits", "name": "default_splits", "description": "Splits for the default config.", "field": [{"@type": "cr:Field", "@id": "default_splits/split_name", "dataType": "sc:Text"}], "data": [{"default_splits/split_name": "test"}]}, {"@type": "cr:RecordSet", "@id": "default", "description": "MiliLab/AnesBench - 'default' subset", "field": [{"@type": "cr:Field", "@id": "default/split", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"fileProperty": "fullpath"}, "transform": {"regex": "default/(?:partial-)?(test)/.+parquet$"}}, "references": {"field": {"@id": "default_splits/split_name"}}}, {"@type": "cr:Field", "@id": "default/id", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "id"}}}, {"@type": "cr:Field", "@id": "default/choice_num", "dataType": "cr:Int64", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "choice_num"}}}, {"@type": "cr:Field", "@id": "default/answer", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "answer"}}}, {"@type": "cr:Field", "@id": "default/level", "dataType": "cr:Int64", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "level"}}}, {"@type": "cr:Field", "@id": "default/en_question", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_question"}}}, {"@type": "cr:Field", "@id": "default/en_A", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_A"}}}, {"@type": "cr:Field", "@id": "default/en_B", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_B"}}}, {"@type": "cr:Field", "@id": "default/en_C", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_C"}}}, {"@type": "cr:Field", "@id": "default/en_D", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_D"}}}, {"@type": "cr:Field", "@id": "default/zh_question", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_question"}}}, {"@type": "cr:Field", "@id": "default/zh_A", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_A"}}}, {"@type": "cr:Field", "@id": "default/zh_B", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_B"}}}, {"@type": "cr:Field", "@id": "default/zh_C", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_C"}}}, {"@type": "cr:Field", "@id": "default/zh_D", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_D"}}}, {"@type": "cr:Field", "@id": "default/en_E", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_E"}}}, {"@type": "cr:Field", "@id": "default/zh_E", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_E"}}}, {"@type": "cr:Field", "@id": "default/en_F", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_F"}}}, {"@type": "cr:Field", "@id": "default/zh_F", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_F"}}}, {"@type": "cr:Field", "@id": "default/en_G", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_G"}}}, {"@type": "cr:Field", "@id": "default/zh_G", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_G"}}}, {"@type": "cr:Field", "@id": "default/en_H", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_H"}}}, {"@type": "cr:Field", "@id": "default/zh_H", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_H"}}}, {"@type": "cr:Field", "@id": "default/en_I", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_I"}}}, {"@type": "cr:Field", "@id": "default/zh_I", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_I"}}}]}], "conformsTo": "http://mlcommons.org/croissant/1.1", "name": "AnesBench", "description": "The AnesBench Datasets Collection comprises three distinct datasets: AnesBench, an anesthesiology reasoning benchmark; AnesQA, an SFT dataset; and AnesCorpus, a continual pre-training dataset. This repository pertains to AnesBench. For AnesQA and AnesCorpus, please refer to their respective links: https://huggingface.co/datasets/MiliLab/AnesQA and https://huggingface.co/datasets/MiliLab/AnesCorpus.\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Description\n\t\n\nAnesBench is designed to assess anesthesiology-related\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"}
 
1
+ {"@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"}, {"@type": "cr:FileSet", "@id": "parquet-files-for-config-default", "containedIn": {"@id": "repo"}, "encodingFormat": "application/x-parquet", "includes": "default/*/*.parquet"}], "recordSet": [{"@type": "cr:RecordSet", "dataType": "cr:Split", "key": {"@id": "default_splits/split_name"}, "@id": "default_splits", "name": "default_splits", "description": "Splits for the default config.", "field": [{"@type": "cr:Field", "@id": "default_splits/split_name", "dataType": "sc:Text"}], "data": [{"default_splits/split_name": "test"}]}, {"@type": "cr:RecordSet", "@id": "default", "description": "MiliLab/AnesBench - 'default' subset", "field": [{"@type": "cr:Field", "@id": "default/split", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"fileProperty": "fullpath"}, "transform": {"regex": "default/(?:partial-)?(test)/.+parquet$"}}, "references": {"field": {"@id": "default_splits/split_name"}}}, {"@type": "cr:Field", "@id": "default/id", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "id"}}}, {"@type": "cr:Field", "@id": "default/choice_num", "dataType": "cr:Int64", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "choice_num"}}}, {"@type": "cr:Field", "@id": "default/answer", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "answer"}}}, {"@type": "cr:Field", "@id": "default/level", "dataType": "cr:Int64", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "level"}}}, {"@type": "cr:Field", "@id": "default/en_question", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_question"}}}, {"@type": "cr:Field", "@id": "default/en_A", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_A"}}}, {"@type": "cr:Field", "@id": "default/en_B", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_B"}}}, {"@type": "cr:Field", "@id": "default/en_C", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_C"}}}, {"@type": "cr:Field", "@id": "default/en_D", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_D"}}}, {"@type": "cr:Field", "@id": "default/zh_question", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_question"}}}, {"@type": "cr:Field", "@id": "default/zh_A", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_A"}}}, {"@type": "cr:Field", "@id": "default/zh_B", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_B"}}}, {"@type": "cr:Field", "@id": "default/zh_C", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_C"}}}, {"@type": "cr:Field", "@id": "default/zh_D", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_D"}}}, {"@type": "cr:Field", "@id": "default/en_E", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_E"}}}, {"@type": "cr:Field", "@id": "default/zh_E", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_E"}}}, {"@type": "cr:Field", "@id": "default/en_F", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_F"}}}, {"@type": "cr:Field", "@id": "default/zh_F", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_F"}}}, {"@type": "cr:Field", "@id": "default/en_G", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_G"}}}, {"@type": "cr:Field", "@id": "default/zh_G", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_G"}}}, {"@type": "cr:Field", "@id": "default/en_H", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_H"}}}, {"@type": "cr:Field", "@id": "default/zh_H", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_H"}}}, {"@type": "cr:Field", "@id": "default/en_I", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "en_I"}}}, {"@type": "cr:Field", "@id": "default/zh_I", "dataType": "sc:Text", "source": {"fileSet": {"@id": "parquet-files-for-config-default"}, "extract": {"column": "zh_I"}}}]}], "conformsTo": "http://mlcommons.org/croissant/1.1", "name": "AnesBench", "description": "The AnesBench Datasets Collection comprises three distinct datasets: AnesBench, an anesthesiology reasoning benchmark; AnesQA, an SFT dataset; and AnesCorpus, a continual pre-training dataset. This repository pertains to AnesBench. For AnesQA and AnesCorpus, please refer to their respective links: https://huggingface.co/datasets/MiliLab/AnesQA and https://huggingface.co/datasets/MiliLab/AnesCorpus.\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Description\n\t\n\nAnesBench is designed to assess anesthesiology-related\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", "c-uda", "1K - 10K", "json", "Tabular", "Text", "Datasets", "pandas", "Croissant", "Polars", "\ud83c\uddfa\ud83c\uddf8 Region: US", "biology", "medical"], "license": "https://choosealicense.com/licenses/c-uda/", "url": "https://huggingface.co/datasets/MiliLab/AnesBench"}