---
language:
- en
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-DNA
          '2': I-DNA
          '3': B-RNA
          '4': I-RNA
          '5': B-cell line
          '6': I-cell line
          '7': B-cell type
          '8': I-cell type
          '9': B-protein
          '10': I-protein
  splits:
  - name: train
    num_bytes: 7743033
    num_examples: 15023
  - name: test
    num_bytes: 967145
    num_examples: 1854
  - name: validation
    num_bytes: 829866
    num_examples: 1669
  download_size: 1652923
  dataset_size: 9540044
---

This is simply a processed version of the GENIA corpus—a semantically annotated corpus for bio-textmining, specialized for NER.

All Credits to Kim, J. D., Ohta, T., Tateisi, Y., & Tsujii, J. I. (2003). GENIA corpus—a semantically annotated corpus for bio-textmining. Bioinformatics, 19(suppl_1), i180-i182.

names = ['O', 'B-DNA', 'I-DNA', 'B-RNA', 'I-RNA', 'B-cell line', 'I-cell line', 'B-cell type', 'I-cell type', 'B-protein', 'I-protein']

```code
@article{kim2003genia,
  title={GENIA corpus—a semantically annotated corpus for bio-textmining},
  author={Kim, J-D and Ohta, Tomoko and Tateisi, Yuka and Tsujii, Jun’ichi},
  journal={Bioinformatics},
  volume={19},
  number={suppl\_1},
  pages={i180--i182},
  year={2003},
  publisher={Oxford University Press}
}
```