sh-islam/ciln-bench-cifar10

CILN-Bench: CIFAR-10 This is a label noise dataset. We corrupt the CIFAR-10 noisy-label-train split, 22,500 images, with a known corruption type and severity. Four trained classifiers, called voters, label the corrupted inputs. Each voter's top class is one vote. The vote shares are the label distribution of the input. The true labels, every voter's softmax and the corruption seeds are included, so you can build any kind of label you want. Settings 15 corruption… See the full description on the dataset page: https://huggingface.co/datasets/sh-islam/ciln-bench-cifar10.

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