create Pytorch dataset without downloading
Quite new here, hope this isn't to much of simple question.
I am trying to get into deep learning, starting with pytorch.
Thing is, all tutorials I see use downloading in order to build a data set for training and testing.  Unfortunately, I am restricted with my internet connection, meaning I can't download directly from the web.
What I can do is download files and transfer them into my computer.
So my question is - in order to use a previously downloaded dataset in pytorch:

Where should I store it?
How do I create a dataset once I have the files on my computer?

If any other information seems important to you I'll be glad to hear, I'm a serious newbie..
Thank you very much!

Not sure which dataset you are asking for. Since you mentioned the &quot;tutorials&quot;, I am guessing that you just want to work with a dataset that comes with some library in PyTorch ecosystem (e.g. torchvision).
Dataset classess in PyTorch ecosystem have a &quot;root&quot; argument in their constrcutors.
mnist = MNIST(root='/some/path', download=True)

You can simply download it on some machine with internet, and transfer the contents of the folder /some/path to your machine at /my/machine/path. And simply point to it and turn off the download
# on your machine without internet
mnist = MNIST(root='/my/machine/path', download=False)

This should work.
