class_docstr: An inductive link prediction dataset for the ILPC 2022 Challenge.
  
  ---
  name: ILPC2022 Small
  citation:
      author: Galkin
      year: 2022
      link: https://arxiv.org/abs/2203.01520
      github: https://github.com/pykeen/ilpc2022
docstr: Initialize the inductive link prediction dataset.
  
  :param kwargs: keyword arguments to forward to the base dataset class, cf. DisjointInductivePathDataset
code: def __init__(self, **kwargs):
      """Initialize the inductive link prediction dataset.
  
      :param kwargs: keyword arguments to forward to the base dataset class, cf. DisjointInductivePathDataset
      """
      super().__init__(
          transductive_training_url=SMALL_TRAIN_URL,
          inductive_inference_url=SMALL_INFERENCE_URL,
          inductive_validation_url=SMALL_INFERENCE_VAL_URL,
          inductive_testing_url=SMALL_INFERENCE_TEST_URL,
          create_inverse_triples=True,
          eager=True,
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/inductive/ilpc2022.py
imports: from docdata import parse_docdata
  from .base import UnpackedRemoteDisjointInductiveDataset
label_desc: Use image node_id 1 to create a new ILPC2022Small object from inherited base classes: UnpackedRemoteDisjointInductiveDataset with example: obj = ILPC2022Small()