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tfds.testing.DummyDatasetCollection

Minimal Dataset Collection builder.

Attributes
`all_versions`	Returns all versions available for the dataset collection.
`datasets`	Returns the datasets included in the collection, ordered by version. Users will need to overwrite this function when implementing their dataset collection. The returned dictionary needs to contain the dataset collection versions as keys, and a dictionary of the included TFDS datasets as values. `@property defdatasets(self): return { "1.0.0": naming.references_for({ "yes_no": "yes_no:1.0.0", "sst2": "glue/sst:2.0.0", "assin2": "assin2:1.0.0", }), ... }` Note that the above is equivalent to: `@property defdatasets(self): return { "1.0.0": { "yes_no": naming.DatasetReference( dataset_name="yes_no", version="1.0.0"), "sst2": naming.DatasetReference( dataset_name="glue", config="sst2", version="2.0.0"), "assin2": naming.DatasetReference( dataset_name="assin2", version="1.0.0"), }, ... }`
`info`

Attributes

all_versions Returns all versions available for the dataset collection.

datasets

Returns the datasets included in the collection, ordered by version.

Users will need to overwrite this function when implementing their dataset collection.

The returned dictionary needs to contain the dataset collection versions as keys, and a dictionary of the included TFDS datasets as values.

@property
defdatasets(self):
return {
 "1.0.0":
 naming.references_for({
 "yes_no": "yes_no:1.0.0",
 "sst2": "glue/sst:2.0.0",
 "assin2": "assin2:1.0.0",
 }),
 ...
}

Note that the above is equivalent to:

@property
defdatasets(self):
return {
 "1.0.0": {
 "yes_no":
 naming.DatasetReference(
 dataset_name="yes_no", version="1.0.0"),
 "sst2":
 naming.DatasetReference(
 dataset_name="glue", config="sst2", version="2.0.0"),
 "assin2":
 naming.DatasetReference(
 dataset_name="assin2", version="1.0.0"),
 },
 ...
}

info

Methods

`get_collection`

View source

get_collection(
 version: Union[None, str, tfds.core.Version ] = None
) -> Mapping[str, naming.DatasetReference]

Returns the requested versioned dataset collection.

Args
`version`	The requested version. If no version is specified, returns the most recently added version.

Returns
The requested dataset collection.

`get_latest_version`

View source

get_latest_version() -> str

Returns the latest version of this dataset collection.

`list_datasets`

View source

list_datasets(
 version: Union[None, str, tfds.core.Version ] = None
) -> str

Returns the datasets included in a versioned dataset collection.

Class Variables
name	`'dummy_dataset_collection'`

tfds.testing.DummyDatasetCollection Stay organized with collections Save and categorize content based on your preferences.

Attributes

Methods

get_collection

get_latest_version

list_datasets

Class Variables

tfds.testing.DummyDatasetCollection

`get_collection`

`get_latest_version`

`list_datasets`