US Census Income Dataset (UCI) - Reduced Bias

This dataset is based on the popular “Adult Data Set” or “Census Income” dataset published by the University of California Irvine ML repository. It is commonly used to predict whether income exceeds $50k/yr based on census data. In this dataset, synthetic data is used to boost under-represented `race`, `gender`, and `income_bracket` classes from the US Census dataset using a synthetic data model trained on the original census data. The goals for this dataset are to improve representation bias, where algorithms trained on the task would inherently favor groups with greater representation to create a more fair, and less biased dataset. This dataset may also be used to support research efforts around AI ethics and bias. Tables Included: - US Census data (original) - US Census data (synthetic) - a complete synthetic dataset with representation bias removed Original dataset: http://archive.ics.uci.edu/ml/datasets/Adult Fields/Attributes Included: - Age - Workclass - Income-bracket - Education - Education-num - Marital-status - Occupation - Relationship - Race - Sex - Capital-gain - Capital-loss - Hours-per-week - Native-country Example Use Case: Create a prediction task to determine whether a person makes over $50k a year.