metadata

language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: Ontonotes5

Dataset Card for "tner/ontonotes5"

Dataset Description

Repository: T-NER
Paper: https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true

Dataset Summary

Ontonotes5 NER dataset formatted in a part of TNER project.

Dataset Structure

Data Instances

An example of train looks as follows.

{
    'tags': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0],
    'tokens': ['Fasciculations', 'in', 'six', 'areas', 'of', 'the', 'body', 'were', 'scored', 'from', '0', 'to', '3', 'and', 'summated', 'as', 'a', 'total', 'fasciculation', 'score', '.']
}

Label ID

The label2id dictionary can be found at here.

{
    "O": 0,
    "B-Chemical": 1,
    "B-Disease": 2,
    "I-Disease": 3,
    "I-Chemical": 4
}

Data Splits

name	train	validation	test
bc5cdr	5228	5330	5865

Citation Information

@article{wei2016assessing,
  title={Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task},
  author={Wei, Chih-Hsuan and Peng, Yifan and Leaman, Robert and Davis, Allan Peter and Mattingly, Carolyn J and Li, Jiao and Wiegers, Thomas C and Lu, Zhiyong},
  journal={Database},
  volume={2016},
  year={2016},
  publisher={Oxford Academic}
}