tfds.builder

tfds.builder(
    name: str,
    *,
    try_gcs: bool = False,
    **builder_kwargs
) -> tfds.core.DatasetBuilder

Used in the tutorials
TensorFlow Datasets Solve GLUE tasks using BERT on TPU TensorFlow Constrained Optimization Example Using CelebA Dataset Exploring the TF-Hub CORD-19 Swivel Embeddings Exploring the TF-Hub CORD-19 Swivel Embeddings

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.
`**builder_kwargs`	`dict` of keyword arguments passed to the `tfds.core.DatasetBuilder`.

Returns
A `tfds.core.DatasetBuilder`.

Raises
`DatasetNotFoundError`	if `name` is unrecognized.

Args