---
language: 
  - en
bigbio_language:
  - English
license: cc-by-4.0
multilinguality: momolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: GAD
homepage: https://geneticassociationdb.nih.gov/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - TEXT_CLASSIFICATION
paperswithcode_id: gad
---


# Dataset Card for GAD

## Dataset Description

- **Homepage:** https://geneticassociationdb.nih.gov/
- **Pubmed:** True
- **Public:** True
- **Tasks:** TXTCLASS


A corpus identifying associations between genes and diseases by a semi-automatic
annotation procedure based on the Genetic Association Database.

## Note about homepage

The homepage for this dataset is no longer reachable, but the url is recorded here.
Data for this dataset was originally downloaded from a google drive
folder (the link used in the [BLURB benchmark data download script](https://microsoft.github.io/BLURB/submit.html).
However, we host the data in the huggingface hub for more reliable downloads and access.


## Citation Information

```
@article{Bravo2015,
  doi = {10.1186/s12859-015-0472-9},
  url = {https://doi.org/10.1186/s12859-015-0472-9},
  year = {2015},
  month = feb,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {16},
  number = {1},
  author = {{\`{A}}lex Bravo and Janet Pi{\~{n}}ero and N{\'{u}}ria Queralt-Rosinach and Michael Rautschka and Laura I Furlong},
  title = {Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research},
  journal = {{BMC} Bioinformatics}
}
```