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README.md
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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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# MACCROBAT-biomedical-ner
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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", 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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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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```
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