tfds.builder
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Fetches a tfds.core.DatasetBuilder
by string name.
tfds.builder(
name: str, *, try_gcs: bool = False, **builder_kwargs
) -> dataset_builder.DatasetBuilder
Used in the notebooks
Args |
name
|
str , the registered name of the DatasetBuilder (the class name as
camel or snake case: MyDataset or my_dataset ). This can be either
'dataset_name' or 'dataset_name/config_name' for datasets with
BuilderConfig s. As a convenience, this string may contain
comma-separated keyword arguments for the builder. For example
'foo_bar/a=True,b=3' would use the FooBar dataset passing the keyword
arguments a=True and b=3 (for builders with configs, it would be
'foo_bar/zoo/a=True,b=3' to use the 'zoo' config and pass to the
builder keyword arguments a=True and b=3 ).
|
try_gcs
|
bool , if True, tfds.load will see if the dataset exists on the
public GCS bucket before building it locally. This is equivalent to
passing data_dir='gs://tfds-data/datasets' . Warning: try_gcs is
different than builder_kwargs.download_config.try_download_gcs .
try_gcs (default: False) overrides data_dir to be the public GCS
bucket. try_download_gcs (default: True) allows downloading from GCS
while keeping a different data_dir than the public GCS bucket. So, to
fully bypass GCS, please use try_gcs=False and
download_and_prepare_kwargs={'download_config':
tfds.core.download.DownloadConfig(try_download_gcs=False)}) .
|
**builder_kwargs
|
dict of keyword arguments passed to the
tfds.core.DatasetBuilder .
|
Raises |
DatasetNotFoundError
|
if name is unrecognized.
|
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Last updated 2024-04-26 UTC.
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