

# 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}
}


```

multilinguality:monolingual language:en license:unknown region:us
{"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "BC7-LitCovid", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-5/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["TEXT_CLASSIFICATION"]}
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 



# Dataset Card for BC7-LitCovid

## Dataset Description

- Homepage: URL
- 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.







# Dataset Card for BC7-LitCovid ## Dataset Description

- Homepage: URL
- 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.
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 
 # Dataset Card for BC7-LitCovid ## Dataset Description

- Homepage: URL
- 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.