Add unmodified cifar-10-python.tar.gz (MD5 c58f30108f718f92721af3b95e74349a)

README.md

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+---
+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/<commit>/cifar-10-python.tar.gz")
+
+## Citation
+
+Alex Krizhevsky, *Learning Multiple Layers of Features from Tiny Images*, 2009.

cifar-10-python.tar.gz

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