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---
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}
}
```
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