Datasets › CI-MNIST

CI-MNIST (Correlated and Imbalanced MNIST)

Introduced by Charan Reddy et al. in Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics7 Jun 2021 archive 2025-07-28

CI-MNIST (Correlated and Imbalanced MNIST) is a variant of MNIST dataset with introduced different types of correlations between attributes, dataset features, and an artificial eligibility criterion. For an input image x, the label y ∈ 1, 0 indicates eligibility or ineligibility, respectively, given that x is even or odd. The dataset defines the background colors as the protected or sensitive attribute s ∈ 0, 1, where blue denotes the unprivileged group and red denotes the privileged group. The dataset was designed in order to evaluate bias-mitigation approaches in challenging setups and be capable of controlling different dataset configurations.

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 4 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

Open

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CI-MNIST

1 variant name, as the archive lists them.

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