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--- |
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license: mit |
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task_categories: |
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- token-classification |
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language: |
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- en |
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tags: |
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- biology |
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- medical |
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size_categories: |
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- 1M<n<10M |
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field: |
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- data |
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--- |
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# MACCROBAT-biomedical-ner |
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## Uses |
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```Python |
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import datasets |
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from datasets import load_dataset |
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features_data = datasets.Features( |
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{ |
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"full_text": Value(dtype="string"), |
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"ner_info": [ |
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{ |
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"text": Value(dtype="string"), |
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"label": Value(dtype="string"), |
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"start": Value(dtype="int64"), |
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"end": Value(dtype="int64"), |
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} |
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], |
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"tokens": Sequence(Value(dtype="string")), |
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"ner_labels": Sequence( |
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ClassLabel( |
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names=[ |
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"O", |
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"B-ACTIVITY", |
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"I-ACTIVITY", |
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"I-ADMINISTRATION", |
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"B-ADMINISTRATION", |
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"B-AGE", |
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"I-AGE", |
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"I-AREA", |
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"B-AREA", |
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"B-BIOLOGICAL_ATTRIBUTE", |
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"I-BIOLOGICAL_ATTRIBUTE", |
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"I-BIOLOGICAL_STRUCTURE", |
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"B-BIOLOGICAL_STRUCTURE", |
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"B-CLINICAL_EVENT", |
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"I-CLINICAL_EVENT", |
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"B-COLOR", |
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"I-COLOR", |
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"I-COREFERENCE", |
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"B-COREFERENCE", |
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"B-DATE", |
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"I-DATE", |
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"I-DETAILED_DESCRIPTION", |
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"B-DETAILED_DESCRIPTION", |
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"I-DIAGNOSTIC_PROCEDURE", |
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"B-DIAGNOSTIC_PROCEDURE", |
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"I-DISEASE_DISORDER", |
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"B-DISEASE_DISORDER", |
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"B-DISTANCE", |
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"I-DISTANCE", |
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"B-DOSAGE", |
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"I-DOSAGE", |
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"I-DURATION", |
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"B-DURATION", |
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"I-FAMILY_HISTORY", |
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"B-FAMILY_HISTORY", |
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"B-FREQUENCY", |
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"I-FREQUENCY", |
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"I-HEIGHT", |
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"B-HEIGHT", |
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"B-HISTORY", |
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"I-HISTORY", |
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"I-LAB_VALUE", |
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"B-LAB_VALUE", |
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"I-MASS", |
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"B-MASS", |
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"I-MEDICATION", |
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"B-MEDICATION", |
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"I-NONBIOLOGICAL_LOCATION", |
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"B-NONBIOLOGICAL_LOCATION", |
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"I-OCCUPATION", |
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"B-OCCUPATION", |
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"B-OTHER_ENTITY", |
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"I-OTHER_ENTITY", |
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"B-OTHER_EVENT", |
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"I-OTHER_EVENT", |
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"I-OUTCOME", |
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"B-OUTCOME", |
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"I-PERSONAL_BACKGROUND", |
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"B-PERSONAL_BACKGROUND", |
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"B-QUALITATIVE_CONCEPT", |
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"I-QUALITATIVE_CONCEPT", |
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"I-QUANTITATIVE_CONCEPT", |
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"B-QUANTITATIVE_CONCEPT", |
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"B-SEVERITY", |
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"I-SEVERITY", |
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"B-SEX", |
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"I-SEX", |
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"B-SHAPE", |
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"I-SHAPE", |
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"B-SIGN_SYMPTOM", |
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"I-SIGN_SYMPTOM", |
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"B-SUBJECT", |
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"I-SUBJECT", |
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"B-TEXTURE", |
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"I-TEXTURE", |
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"B-THERAPEUTIC_PROCEDURE", |
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"I-THERAPEUTIC_PROCEDURE", |
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"I-TIME", |
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"B-TIME", |
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"B-VOLUME", |
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"I-VOLUME", |
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"I-WEIGHT", |
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"B-WEIGHT", |
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] |
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) |
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), |
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} |
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) |
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# load the data |
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medical_ner_data = load_dataset("singh-aditya/MACCROBAT-biomedical-ner", field="data", features=features_data) |
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print(medical_ner_data) |
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``` |
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``` |
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DatasetDict({ |
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train: Dataset({ |
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features: ['ner_labels', 'tokens', 'full_text', 'ner_info'], |
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num_rows: 200 |
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}) |
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}) |
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``` |
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<!-- Address questions around how the dataset is intended to be used. --> |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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[More Information Needed] |
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## Dataset Creation |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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**BibTeX:** |
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```JSON |
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{ |
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article= Caufield2020, |
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author = "J. Harry Caufield", |
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title = "{MACCROBAT}", |
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year = "2020", |
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month = "1", |
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url = "https://figshare.com/articles/dataset/MACCROBAT2018/9764942", |
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doi = "10.6084/m9.figshare.9764942.v2" |
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} |
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``` |
