Create Dataset from .pt files

I have multiple transformed images saved as .pt files. I would like to upload these files, and create a Dataset that stores these images as Tensors. How can I do this?

Where would you like to upload these files?

If you just would like to lazily load each transformed image stored as a .pt file, you could write a custom Dataset, pass the file paths in the __init__ method and load each file in __getitem__.
Here is a small code sample:

class MyDataset(Dataset):
    def __init__(self, file_paths):
        self.file_paths = file_paths
    def __getitem__(self, index):
        x = torch.load(self.file_paths[index])
        return x
    def __len__(self):
        return len(self.file_paths)