metadata
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.