The CIFAR-10 and CIFAR-100 datasets were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The tech report entitled Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009, describes the datasets and the methodology followed when collecting them in greater detail. These datasets and the tech report are available at https://www.cs.toronto.edu/~kriz/cifar.html
The Credit Card Fraud Detection dataset was collected and analyzed during a research collaboration of Worldline and the Machine Learning Group of Universite Libre de Bruxelles. The dataset and additional information are available at https://www.kaggle.com/mlg-ulb/creditcardfraud.
The MNIST dataset (Modified National Institute of Standards and Technology dataset) was created by efforts of Chris Burges, Corinna Cortes, and Yann LeCun. The dataset and additional information are available at http://yann.lecun.com/exdb/mnist/.