adult-fairness

Adult Income dataset preprocessed for fairness ML experiments (DRO vs Naive). Predicts income >$50K with gender as protected attribute.

Dataset Description

This dataset is part of a fairness-aware machine learning research project comparing Distributionally Robust Optimization (DRO) against standard (naive) ML approaches.

Files

• adult_processed.csv: Preprocessed dataset ready for ML training
• adult_meta.json: Metadata including feature names, protected attribute, and target label

Usage

from datasets import load_dataset

# Load dataset
dataset = load_dataset("kuldeepbishnoi29/adult-fairness")

# Or directly with pandas
import pandas as pd
df = pd.read_csv("hf://datasets/kuldeepbishnoi29/adult-fairness/adult_processed.csv")

Metadata

The metadata file contains:

• protected_col: Name of the protected/sensitive attribute
• label_col: Name of the target variable
• feature_cols: List of feature columns for modeling
• numeric_cols: Numeric feature columns
• categorical_cols: Categorical feature columns

Citation

If you use this dataset, please cite the original data source and consider referencing this preprocessed version.

License

MIT License - Use freely with attribution