class_docstr: The DRKG dataset.
  
  ---
  name: Drug Repositioning Knowledge Graph
  citation:
      github: gnn4dr/DRKG
  single: true
  statistics:
      entities: 97238
      types: 13
      relations: 107
      triples: 5874257
      training: 4699405
      testing: 587426
      validation: 587426
docstr: Initialize the `DRKG <https://github.com/gnn4dr/DRKG>`_ dataset.
  
  :param random_state: The random seed to use in splitting the dataset. Defaults to 0.
  :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.TarFileSingleDataset`.
code: def __init__(
      self,
      random_state: TorchRandomHint = 0,
      **kwargs,
  ):
      """Initialize the `DRKG <https://github.com/gnn4dr/DRKG>`_ dataset.
  
      :param random_state: The random seed to use in splitting the dataset. Defaults to 0.
      :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.TarFileSingleDataset`.
      """
      super().__init__(
          url=URL,
          relative_path="drkg.tsv",
          random_state=random_state,
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/drkg.py
imports: import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import TarFileSingleDataset
  from ..typing import TorchRandomHint
label_desc: Use image node_id 1 to create a new DRKG object from inherited base classes: TarFileSingleDataset with example: obj = DRKG(random_state)