---
license: mit
task_categories:
- token-classification
language:
- en
dataset_info:
  features:
  - name: id
    dtype: string
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-OrganismTaxon
          '2': I-OrganismTaxon
          '3': B-DiseaseOrPhenotypicFeature
          '4': I-DiseaseOrPhenotypicFeature
          '5': B-SequenceVariant
          '6': I-SequenceVariant
          '7': B-GeneOrGeneProduct
          '8': I-GeneOrGeneProduct
          '9': B-ChemicalEntity
          '10': I-ChemicalEntity
          '11': B-CellLine
          '12': I-CellLine
  splits:
  - name: test
    num_bytes: 322740
    num_examples: 60
  - name: train
    num_bytes: 3122140
    num_examples: 600
  download_size: 976463
  dataset_size: 3444880
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

## Benchmark dataset biored
This dataset was generated by the Data preprocessing step of the NERFAIR workflow (More information: https://github.com/YasCoMa/ner-fair-workflow )

Original dataset: Luo, Ling, Po-Ting Lai, Chih-Hsuan Wei, Cecilia N. Arighi, and Zhiyong Lu. 2022. “BioRED: A Rich Biomedical Relation Extraction Dataset.” Briefings in Bioinformatics 23 (5): bbac282.