The torchnlp.datasets package introduces modules capable of downloading, caching and loading commonly used NLP datasets.
Modules return a torch.utils.data.Dataset object i.e, they have __getitem__ and __len__ methods implemented. Hence, they can all be passed to a torch.utils.data.DataLoader which can load multiple samples parallelly using torch.multiprocessing workers.
torchnlp.datasets