Add a method to shuffle a dataset
Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.

Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think?
+1 for the naming convention

About the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage) +1 for shuffle in `Dataloader`. 
Some `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster than do shuffle in dataset, especially when doing shuffle every epoch.

Also +1 for the naming convention. As you might already know the issue of dataset shuffling came up in the nlp code [walkthrough](https://youtu.be/G3pOvrKkFuk?t=3204) by Yannic Kilcher
 We added the `.shuffle` method :)

Closing this one.