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Description
Is your feature request related to a problem? Please describe.
I am frustrated when I want to load the train split of SVHN on a new server, because it will always also download the extra split, which is huge.
Describe the solution you'd like
It would be nice to have a flag in the load function, like download_split_only, that allows to only download (and prepare) the necessary splits as specified in the split argument of the function.
Describe alternatives you've considered
I might be able to manually download only the data I need, but I would like to avoid this solution.
Additional context
You can see the problem happening in this colab notebook:
import tensorflow_datasets as tfds
ds = tfds.load(
'svhn_cropped',
split='train',
as_supervised=True,
)