CIFAR-10-C Train or Test Set?

[collinskatie]

Thank you for making this repository available! I'm hoping to work with the CIFAR-10-C set and just downloaded the .tar available here (https://zenodo.org/record/2535967#.YrMov5DMLX0).

The docs note this is the CIFAR-10 test set. However, when I read in the labels.npy file (or other *.npy files, such as the Gaussian blur one), there appear to be 50,000 images. Which I think would be the train set instead?

The docs imply there would only be 20,000 imgs in the .npy (and 10,000 for the labels) if there was a different degree of corruption used for the test set.

I just wanted to check then if the .tar contains the CIFAR-10 train set? And/or how to get access to the corrupted test set? Thank you, and apologies if I've misinterpreted any of this!

[hendrycks]

The docs note this is the CIFAR-10 test set. However, when I read in the

labels.npy file (or other *.npy files, such as the Gaussian blur one), there appear to be 50,000 images. Which I think would be the train set instead? There are five corruption severities, hence there are 5 * 10K = 50K examples.

…

On Wed, Jun 22, 2022 at 7:36 AM Katie Collins ***@***.***> wrote: Thank you for making this repository available! I'm hoping to work with the CIFAR-10-C set and just downloaded the .tar available here ( https://zenodo.org/record/2535967#.YrMov5DMLX0). The docs note this is the CIFAR-10 test set. However, when I read in the labels.npy file (or other *.npy files, such as the Gaussian blur one), there appear to be 50,000 images. Which I think would be the train set instead? The docs imply there would only be 20,000 imgs in the .npy (and 10,000 for the labels) if there was a different degree of corruption used for the test set. I just wanted to check then if the .tar contains the CIFAR-10 train set? And/or how to get access to the corrupted test set? Thank you, and apologies if I've misinterpreted any of this! — Reply to this email directly, view it on GitHub <#57>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACZBITVXTE7LX3J6CANHOMDVQMQFTANCNFSM5ZQPCIUQ> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[collinskatie]

I see, I misunderstood. That makes sense now! Thanks for clarifying, @hendrycks !