get_dataset

get_dataset(*, dataset: str | Path | Dataset | type[Dataset] | None = None, dataset_kwargs: Mapping[str, Any] | None = None, training: str | Path | CoreTriplesFactory | None = None, testing: str | Path | CoreTriplesFactory | None = None, validation: str | Path | CoreTriplesFactory | None = None) → Dataset[source]

Get a dataset, cached based on the given kwargs.

Parameters:

  • dataset (str | Path | Dataset | type[Dataset] | None) – The name of a dataset, an instance of a dataset, or the class for a dataset.

  • dataset_kwargs (Mapping[str, Any] | None) – The keyword arguments, only to be used when a class for a dataset is used for the dataset keyword argument.

  • training (str | Path | CoreTriplesFactory | None) – A triples factory for training triples or a path to a training triples file if dataset=None

  • testing (str | Path | CoreTriplesFactory | None) – A triples factory for testing triples or a path to a testing triples file if dataset=None

  • validation (str | Path | CoreTriplesFactory | None) – A triples factory for validation triples or a path to a validation triples file if dataset=None

Returns:

An instantiated dataset

Raises:

  • ValueError – for incorrect usage of the input of the function

  • TypeError – If a type is given for dataset but it’s not a subclass of Dataset

Return type:

Dataset