Classification Datasets

Pre-configured datasets for classification tasks.

Financial/Credit

Dataset	Features	Classes	Size	Description
adult.yaml	14	2	48,842	Income prediction (>50K)
german_credit.yaml	20	2	1,000	Credit risk assessment
credit_default.yaml	23	2	30,000	Credit card default
give_me_some_credit.yaml	10	2	150,000	Credit scoring
heloc.yaml	23	2	10,459	Home equity line of credit
lending_club.yaml	varies	2	varies	Loan approval

Criminal Justice

Dataset	Features	Classes	Size	Description
compas.yaml	12	2	7,214	Recidivism prediction

Banking/Marketing

Dataset	Features	Classes	Size	Description
bank_marketing.yaml	16	2	45,211	Term deposit subscription

Other

Dataset	Features	Classes	Size	Description
wine.yaml	13	3	178	Wine classification
digits.yaml	64	10	1,797	Handwritten digits
moons.yaml	2	2	synthetic	Two interleaving half circles
blobs.yaml	2	2	synthetic	Gaussian blobs
law.yaml	varies	2	varies	Law school admission
audit.yaml	varies	2	varies	Audit risk

Usage Example

from counterfactuals.datasets import FileDataset

# Load Adult dataset
dataset = FileDataset(config_path="config/datasets/adult.yaml")

print(f"Training samples: {len(dataset.X_train)}")
print(f"Test samples: {len(dataset.X_test)}")
print(f"Features: {len(dataset.features)}")