UnpackedRemoteDisjointInductiveDataset

class UnpackedRemoteDisjointInductiveDataset(transductive_training_url: str, inductive_inference_url: str, inductive_testing_url: str, inductive_validation_url: str, cache_root: str | None = None, force: bool = False, eager: bool = False, create_inverse_triples: bool = False, load_triples_kwargs: Mapping[str, Any] | None = None, download_kwargs: Mapping[str, Any] | None = None, version: str | None = None)[source]

Bases: DisjointInductivePathDataset

A dataset with all four of train, inductive_inference, inductive test, and inductive validation sets as URLs.

Initialize dataset.

Parameters:

  • transductive_training_url (str) – The URL of the training file

  • inductive_inference_url (str) – The URL of the inductive inference graph file

  • inductive_testing_url (str) – The URL of the inductive testing file

  • inductive_validation_url (str) – The URL of the inductive validation file

  • cache_root (Path) – 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 ~/.data/pykeen.

  • force (bool) – If true, redownload any cached files

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

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

  • load_triples_kwargs (Mapping[str, Any] | None) – Arguments to pass through to TriplesFactory.from_path() and ultimately through to pykeen.triples.utils.load_triples().

  • download_kwargs (Mapping[str, Any] | None) – Keyword arguments to pass to pystow.utils.download()

  • version (str | None) – accepts a string “v1” to “v4” to select among Teru et al inductive datasets