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  ---
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  license: mit
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  ---
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+
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+ # MACCROBAT-biomedical-ner
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+
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+
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+
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+ ## Uses
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+ ```Python
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+ from datasets import load_dataset
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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", data_files="MACCROBAT2020-V2.json", field="data")
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+ print(medical_ner_data)
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+ ```
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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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+
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+
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+ ## Dataset Structure
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+
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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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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+
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+
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+ #### Data Collection and Processing
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+
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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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+
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+ [More Information Needed]
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+
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+
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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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+ ```
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+
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+