Algorithmic Fairness Datasets
Description
This dataset presents the description and the references for the datasets used in the fairness literature. We target this data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them.
For over 95% of the surveyed datasets, we identified at least one contact involved in the data curation process or familiar with the dataset, who received a preliminary version of the respective data brief and a request for corrections and additions. Data briefs are meant as short documentation providing essential information on datasets used in fairness research.
Notes
Files
Files
(2.3 MB)
Name | Size | Download all |
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md5:c5b2270e0725294e6c17102dbac8342e
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28.1 kB | Download |
md5:45be02c9e3d1025fe1c00eb035701324
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2.3 MB | Download |
Additional details
Related works
- Is supplemented by
- Working paper: https://arxiv.org/abs/2202.01711 (URL)
- Journal article: https://link.springer.com/article/10.1007/s10618-022-00854-z (URL)
References
- A. Fabris and S. Messina and G. Silvello and G.A. Susto. Algorithmic fairness datasets: the story so far. Data Mining and Knowledge Discovery - DOI: 10.1007/s10618-022-00854-z