Published December 7, 2022 | Version 2
Dataset Open

Algorithmic Fairness Datasets

  • 1. Alessandro
  • 2. Stefano
  • 3. Alberto
  • 4. Gian Antonio
  • 5. Gianmaria

Contributors

  • 1. University of Padua

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

The dataset is a supplement to the preprint paper available here: https://arxiv.org/abs/2202.01711

Files

Files (2.3 MB)

Name Size Download all
md5:c5b2270e0725294e6c17102dbac8342e
28.1 kB Download
md5:45be02c9e3d1025fe1c00eb035701324
2.3 MB Download

Additional details

Related works

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