tfds.core.SplitDict

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Split info object.

tfds.core.SplitDict(
    split_infos: Iterable[SplitInfo], *, dataset_name: Optional[str] = None
)

Attributes
total_num_examples	Return the total number of examples.

Methods

from_proto

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@classmethod
from_proto(
    repeated_split_infos: Iterable[proto_lib.SplitInfo],
    filename_template: naming.ShardedFileTemplate
) -> 'SplitDict'

Returns a new SplitDict initialized from the repeated_split_infos.

merge_multiple

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@classmethod
merge_multiple(
    split_dicts: List['SplitDict']
) -> 'SplitDict'

to_proto

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to_proto()

Returns a list of SplitInfo protos that we have.

update

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update(
    other
)

D.update([E, ]**F) -> None. Update D from dict/iterable E and F. If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

__getitem__

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__getitem__(
    key
)

x.getitem(y) <==> x[y]