Vision: Failed to download CelebA dataset using download=True

[rrmina]

🐛 Bug

It fails to download the following files

1. img_align_celeba.zip

Rather than the zip file, it downloads a html file "Google Drive - Quota exceeded". Returns badZipFile error

1. list_attr_celeba.txt

Similarly, "Google Drive - Quota exceeded". This time it returns RuntimeError('Dataset not found or corrupted.' + ' You can use download=True to download it')

1. list_landmarks_align_celeba.txt

Similar to number 2

To Reproduce

Steps to reproduce the behavior:

1. train_dataset = datasets.CelebA('data', split="train", transform=transforms.ToTensor(), download=True)

Expected behavior

Environment

PyTorch version: 1.2.0
Is debug build: No
CUDA used to build PyTorch: 10.0

OS: Microsoft Windows 10 Home Single Language
GCC version: (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 8.1.0
CMake version: Could not collect

Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.0.130
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect

Versions of relevant libraries:
[pip3] numpy==1.17.0
[pip3] torch==1.2.0
[pip3] torchtext==0.4.0
[pip3] torchvision==0.4.0
[conda] Could not collect

Additional context

[pmeier]

The error message

Google Drive - Quota exceeded

means, that the traffic of this file (size and number of downloads) exceeds a limit or quota set by Google Drive. Since we are not hosting the dataset we have no chance to help you with this, since this is not an error on our side. According to the answer in the above link this quota is reset every 24 hours, so a possible fix for you might be to try again later and hope that the traffic limit is not reached yet.

[fmassa]

Thanks @pmeier for the help!

It looks like there is not much we can do, please try again in some time and let us now if the problem persists. As such, I'm closing this issue