Datasetpublic

kuldeepbishnoi29/adult-fairness

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… See the full description on the dataset page: https://huggingface.co/datasets/kuldeepbishnoi29/adult-fairness.

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Dataset Card

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

python

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