Datasets › ACS PUMS
ACS PUMS
ACS PUMS stands for American Community Survey (ACS) Public Use Microdata Sample (PUMS) and has been used to construct several tabular datasets for studying fairness in machine learning:
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ACSIncome: to predict whether an individual’s income is above $50,000.
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ACSPublicCoverage: to predict whether an individual is covered by public health insurance.
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ACSMobility: to predict whether an individual had the same residential address one year ago.
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ACSEmployment: to predict whether an individual is employed.
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ACSTravelTime: predict whether an individual has a commute to work that is longer than 20 minutes.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 11 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ACS PUMS
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections