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80bc211
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Parent(s):
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Update README.md
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README.md
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@@ -17,10 +17,114 @@ size_categories:
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## Uses
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```Python
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from datasets import load_dataset
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# load the data
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-
medical_ner_data = load_dataset("singh-aditya/MACCROBAT-biomedical-ner",
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print(medical_ner_data)
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```
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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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