.. py:module:: torchaudio.datasets torchaudio.datasets ==================== All datasets are subclasses of :class:`torch.utils.data.Dataset` and have ``__getitem__`` and ``__len__`` methods implemented. Hence, they can all be passed to a :class:`torch.utils.data.DataLoader` which can load multiple samples parallelly using :mod:`torch.multiprocessing` workers. For example: .. code:: yesno_data = torchaudio.datasets.YESNO('.', download=True) data_loader = torch.utils.data.DataLoader( yesno_data, batch_size=1, shuffle=True, num_workers=args.nThreads) .. currentmodule:: torchaudio.datasets .. autosummary:: :toctree: generated :nosignatures: :template: autosummary/dataset_class.rst CMUARCTIC CMUDict COMMONVOICE DR_VCTK FluentSpeechCommands GTZAN IEMOCAP LibriMix LIBRISPEECH LibriLightLimited LIBRITTS LJSPEECH MUSDB_HQ QUESST14 Snips SPEECHCOMMANDS TEDLIUM VCTK_092 VoxCeleb1Identification VoxCeleb1Verification YESNO