The original optical recognition of handwritten digits dataset from UCI machine learning repository is a multi-class classification dataset. The instances of digits 1-9 are inliers and instances of digit 0 are down-sampled to 150 outliers.
C. C. Aggarwal and S. Sathe, “Theoretical foundations and algorithms for outlier ensembles.” ACM SIGKDD Explorations Newsletter, vol. 17, no. 1, pp. 24–47, 2015.Downloads
Description: X = Multi-dimensional point data, y = labels (1 = outliers, 0 = inliers)