--- license: unknown pretty_name: CIFAR-10 (original python archive) task_categories: - image-classification --- # CIFAR-10, original python archive Unmodified copy of `cifar-10-python.tar.gz` from https://www.cs.toronto.edu/~kriz/cifar.html, mirrored so course notebooks do not depend on the original host. - MD5 `c58f30108f718f92721af3b95e74349a` (the value `torchvision.datasets.CIFAR10` checks) - 170,498,071 bytes ## Use with torchvision Set the URL before the first `datasets.CIFAR10(...)` call. torchvision still verifies the MD5, so nothing else changes. Pin a commit hash from this repo's history, not `main`. datasets.CIFAR10.url = ("https://huggingface.co/datasets/MIT-OL-AI-D/cifar-10-python/" "resolve//cifar-10-python.tar.gz") ## Citation Alex Krizhevsky, *Learning Multiple Layers of Features from Tiny Images*, 2009.