A Suite of Fairness Datasets for Tabular Classification

Martin Hirzel; Michael Feffer

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arXiv · 2308.00133

A Suite of Fairness Datasets for Tabular Classification

Martin Hirzel·Michael Feffer

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Abstract

There have been many papers with algorithms for improving fairness of machine-learning classifiers for tabular data. Unfortunately, most use only very few datasets for their experimental evaluation. We introduce a suite of functions for fetching 20 fairness datasets and providing associated fairness metadata. Hopefully, these will lead to more rigorous experimental evaluations in future fairness-aware machine learning research.

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Martin Hirzel, Michael Feffer. 2023-07-31. A Suite of Fairness Datasets for Tabular Classification. https://arxiv.org/abs/2308.00133

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