metadata

language:
  - en
bigbio_language:
  - English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BC7-LitCovid
homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-5/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - TEXT_CLASSIFICATION

Dataset Card for BC7-LitCovid

Dataset Description

Homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-5/
Pubmed: True
Public: True
Tasks: TXTCLASS

The training and development datasets contain the publicly-available text of over 30 thousand COVID-19-related articles and their metadata (e.g., title, abstract, journal). Articles in both datasets have been manually reviewed and articles annotated by in-house models.

Citation Information

@inproceedings{chen2021overview,
  title        = {
    Overview of the BioCreative VII LitCovid Track: multi-label topic
    classification for COVID-19 literature annotation
  },
  author       = {
    Chen, Qingyu and Allot, Alexis and Leaman, Robert and Do{\u{g}}an, Rezarta
    Islamaj and Lu, Zhiyong
  },
  year         = 2021,
  booktitle    = {Proceedings of the seventh BioCreative challenge evaluation workshop}
}