class TabbedDataset(cache_root=None, eager=False, create_inverse_triples=False, random_state=None)[source]

Bases: LazyDataset

This class is for when you’ve got a single TSV of edges and want them to get auto-split.

Initialize dataset.

  • cache_root (Optional[str]) – An optional directory to store the extracted files. Is none is given, the default PyKEEN directory is used. This is defined either by the environment variable PYKEEN_HOME or defaults to ~/.pykeen.

  • eager (bool) – Should the data be loaded eagerly? Defaults to false.

  • create_inverse_triples (bool) – Should inverse triples be created? Defaults to false.

  • random_state (Union[None, int, Generator]) – An optional random state to make the training/testing/validation split reproducible.

Attributes Summary


Attributes Documentation

ratios: ClassVar[Sequence[float]] = (0.8, 0.1, 0.1)