tfds.download.DownloadConfig

Configuration for tfds.core.DatasetBuilder.download_and_prepare.

tfds.download.DownloadConfig(
    extract_dir=None, manual_dir=None, download_mode=None, compute_stats=None,
    max_examples_per_split=None, register_checksums=False,
    force_checksums_validation=False, beam_runner=None, beam_options=None,
    try_download_gcs=True
)

Args
`extract_dir`	`str`, directory where extracted files are stored. Defaults to "/extracted".
`manual_dir`	`str`, read-only directory where manually downloaded/extracted data is stored. Defaults to `<download_dir>/manual`.
`download_mode`	`tfds.GenerateMode`, how to deal with downloads or data that already exists. Defaults to `REUSE_DATASET_IF_EXISTS`, which will reuse both downloads and data if it already exists.
`compute_stats`	`tfds.download.ComputeStats`, whether to compute statistics over the generated data. Defaults to `AUTO`.
`max_examples_per_split`	`int`, optional max number of examples to write into each split (used for testing).
`register_checksums`	`bool`, defaults to False. If True, checksum of downloaded files are recorded.
`force_checksums_validation`	`bool`, defaults to False. If True, raises an error if an URL do not have checksums.
`beam_runner`	Runner to pass to `beam.Pipeline`, only used for datasets based on Beam for the generation.
`beam_options`	`PipelineOptions` to pass to `beam.Pipeline`, only used for datasets based on Beam for the generation.
`try_download_gcs`	`bool`, defaults to True. If True, prepared dataset will be downloaded from GCS, when available. If False, dataset will be downloaded and prepared from scratch.

tfds.download.DownloadConfig

Args