Datasets:

Languages:
English
License:
bc7_litcovid / README.md
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---
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}
}
```