UnpackedRemoteDisjointInductiveDataset

class UnpackedRemoteDisjointInductiveDataset(transductive_training_url, inductive_inference_url, inductive_testing_url, inductive_validation_url, cache_root=None, force=False, eager=False, create_inverse_triples=False, load_triples_kwargs=None, download_kwargs=None, version=None)

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 (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 ~/.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 (Optional[Mapping[str, Any]]) – Arguments to pass through to TriplesFactory.from_path() and ultimately through to pykeen.triples.utils.load_triples().

• download_kwargs (Optional[Mapping[str, Any]]) – Keyword arguments to pass to pystow.utils.download()

• version (Optional[str]) – accepts a string “v1” to “v4” to select among Teru et al inductive datasets