metadata

language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: BioNLP2004

Dataset Card for "tner/bionlp2004"

Dataset Description

Repository: T-NER
Paper: https://aclanthology.org/U15-1010.pdf
Dataset: BioNLP2004
Domain: Biochemical
Number of Entity: 4

Dataset Summary

BioNLP2004 NER dataset formatted in a part of TNER project. Original BioNLP2004 dataset contains training and test. We take a half amount of test instances randomly from the training set and create a validation set with it.

Entity Types:ORG, LOC, PER, MISC

Dataset Structure

Data Instances

An example of train looks as follows.

{
    "tags": [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    "tokens": ["1", ".", "1", ".", "4", "Borrower", "engages", "in", "criminal", "conduct", "or", "is", "involved", "in", "criminal", "activities", ";"]
}

Label ID

The label2id dictionary can be found at here.

{
    "O": 0,
    "I-ORG": 1,
    "I-LOC": 2,
    "I-PER": 3,
    "I-MISC": 4
}

Data Splits

name	train	validation	test
fin	861	303	303

Citation Information

@inproceedings{collier-kim-2004-introduction,
    title = "Introduction to the Bio-entity Recognition Task at {JNLPBA}",
    author = "Collier, Nigel  and
      Kim, Jin-Dong",
    booktitle = "Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications ({NLPBA}/{B}io{NLP})",
    month = aug # " 28th and 29th",
    year = "2004",
    address = "Geneva, Switzerland",
    publisher = "COLING",
    url = "https://aclanthology.org/W04-1213",
    pages = "73--78",
}