Hi there 
For some time, there have been issues about downloading MNIST dataset with torchvision. I have found a solution to this from
https://stackoverflow.com/questions/66646604/http-error-503-service-unavailable-whan-trying-to-download-mnist-data 5.
After running this code and doing some adjustments in the folders of Google Colab, I tried  to load data to a dataloader by giving its path and parameters as explained in
PyTorch beginner: CNN for MNIST | Kaggle 5
The code I am working on is below:
def get_train_loader(dataset):
“”"
Get train dataloader of source domain or target domain
:return: dataloader
“”"
if dataset == ‘MNIST’:
transform = transforms.Compose([
transforms.Lambda(lambda x: x.repeat(3,1,1)),
transforms.ToTensor(),
transforms.Normalize(mean= dataset_mean, std= dataset_std)
])
data = datasets.MNIST(root= mnist_path + ‘/processed’, train= True, transform= transform, download=False ) #This line gives the problem
dataloader = DataLoader(dataset= data, batch_size= batch_size, shuffle= True, drop_last= True)
mnist_path is a string variable that shows the root of the MNIST file
However when I run this, I get a runtime error:
RuntimeError: Dataset not found. You can use download=True to download it.
But this is not helping due to the issue I explained in the beginning. I am working on Google Colab, and I am working with MNIST and MNIST-M.  I have uploaded MNIST-M to Google Colab and unzipped it. MNIST is also there, it has two subfolders processed and raw. Processed folder also contains training.pt and test.pt. Can you help me solve this problem? Thank you so much :))