---
license: mit
task_categories:
- token-classification
language:
- en
tags:
- biology
- medical
size_categories:
- 1M<n<10M
---

# MACCROBAT-biomedical-ner



## Uses
```Python
from datasets import load_dataset

# load the data
medical_ner_data = load_dataset("singh-aditya/MACCROBAT-biomedical-ner", data_files="MACCROBAT2020-V2.json", field="data")
print(medical_ner_data)
```

```
DatasetDict({
    train: Dataset({
        features: ['ner_labels', 'tokens', 'full_text', 'ner_info'],
        num_rows: 200
    })
})
```
<!-- Address questions around how the dataset is intended to be used. -->


## Dataset Structure

<!-- 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. -->

[More Information Needed]

## Dataset Creation



#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]


**BibTeX:**
```JSON
{
  article= Caufield2020,
  author = "J. Harry Caufield",
  title = "{MACCROBAT}",
  year = "2020",
  month = "1",
  url = "https://figshare.com/articles/dataset/MACCROBAT2018/9764942",
  doi = "10.6084/m9.figshare.9764942.v2"
}
```