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MIT-OL-AI-D/cifar-10-python

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… See the full description on the dataset page: https://huggingface.co/datasets/MIT-OL-AI-D/cifar-10-python.

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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/<commit>/cifar-10-python.tar.gz")

Citation

Alex Krizhevsky, Learning Multiple Layers of Features from Tiny Images, 2009.