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bigbio/nlm_gene

NLM-Gene consists of 550 PubMed articles, from 156 journals, and contains more than 15 thousand unique gene names, corresponding to more than five thousand gene identifiers (NCBI Gene taxonomy). This corpus contains gene annotation data from 28 organisms. The annotated articles contain on average 29 gene names, and 10 gene identifiers per article. These characteristics demonstrate that this article set is an important benchmark dataset to test the accuracy of gene recognition algorithms both on multi-species and ambiguous data. The NLM-Gene corpus will be invaluable for advancing text-mining techniques for gene identification tasks in biomedical text.

sourceHugging Facecc0-1.0updated 3y agoView on Hugging Face
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Dataset Card

language:

  • en bigbio_language:
  • English license: cc0-1.0 multilinguality: monolingual bigbiolicenseshortname: CC01p0 prettyname: NLM-Gene homepage: https://zenodo.org/record/5089049 bigbiopubmed: True bigbiopublic: True bigbio_tasks:
  • NAMEDENTITYRECOGNITION
  • NAMEDENTITYDISAMBIGUATION ---

Dataset Card for NLM-Gene

Dataset Description

  • Homepage: https://zenodo.org/record/5089049
  • Pubmed: True
  • Public: True
  • Tasks: NER,NED

NLM-Gene consists of 550 PubMed articles, from 156 journals, and contains more than 15 thousand unique gene names, corresponding to more than five thousand gene identifiers (NCBI Gene taxonomy). This corpus contains gene annotation data from 28 organisms. The annotated articles contain on average 29 gene names, and 10 gene identifiers per article. These characteristics demonstrate that this article set is an important benchmark dataset to test the accuracy of gene recognition algorithms both on multi-species and ambiguous data. The NLM-Gene corpus will be invaluable for advancing text-mining techniques for gene identification tasks in biomedical text.

Citation Information

@article{islamaj2021nlm,
  title        = {
    NLM-Gene, a richly annotated gold standard dataset for gene entities that
    addresses ambiguity and multi-species gene recognition
  },
  author       = {
    Islamaj, Rezarta and Wei, Chih-Hsuan and Cissel, David and Miliaras,
    Nicholas and Printseva, Olga and Rodionov, Oleg and Sekiya, Keiko and Ward,
    Janice and Lu, Zhiyong
  },
  year         = 2021,
  journal      = {Journal of Biomedical Informatics},
  publisher    = {Elsevier},
  volume       = 118,
  pages        = 103779
}