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.. 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
|
