Retiring Adult: New Datasets for Fair Machine Learning
Paper • 2108.04884 • Published
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End of preview. Expand in Data Studio
RAF-Ready Folktables
This repository provides the processed Folktables dataset used in the paper:
Retrieval-Augmented Dataset Assembly for Fair Clustering
The data are prepared for evaluating RAF, a retrieval-augmented dataset assembly framework for downstream fair clustering. RAF studies a data-level solution to fair clustering: instead of only imposing fairness constraints on a fixed dataset, it retrieves and selects real external samples to reduce minority under-representation before clustering.
This release contains the RAF-ready processed version of Folktables, including the query dataset, external source files, source metadata, embeddings, and sensitive-group labels required to run RAF.
This repository does not redistribute the full original ACS PUMS data. It only provides the processed files used for RAF experiments. Users should also comply with the license and terms of the original Folktables package and the original ACS data source.
Dataset Description
Background
Fair clustering aims to produce clustering results that are both useful and fair with respect to sensitive groups. However, when the original dataset severely under-represents a minority group in some semantic regions, fair clustering algorithms are limited by the available data. They can rebalance assignments, but they cannot create missing real samples.
RAF addresses this limitation from the data side. Given an initial query dataset and a collection of external data sources, RAF selectively retrieves candidate samples under a budget constraint. It then evaluates whether each candidate improves majority-minority distributional alignment in the embedding space. The accepted samples are used to augment the initial dataset before downstream clustering.
This processed Folktables release is designed to support this setting in the tabular-data domain, where demographic groups may be unevenly distributed across different semantic regions of the feature space.
Source Dataset
The original dataset is based on Folktables, a benchmark suite derived from the American Community Survey Public Use Microdata Sample, or ACS PUMS.
Original dataset:
- Folktables: https://github.com/socialfoundations/folktables
- Folktables paper: https://arxiv.org/abs/2108.04884
- ACS PUMS: https://www.census.gov/programs-surveys/acs/microdata.html
In RAF, we use Folktables to construct tabular embeddings and source partitions for retrieval-augmented fair clustering.
Processed Dataset
This repository contains the processed RAF-ready Folktables files:
- Query dataset used as the initial dataset
D_q - External source files used as candidate data sources
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