class_docstr: The BioKG dataset from [walsh2020]_.
  
  ---
  name: BioKG
  citation:
      github: dsi-bdi/biokg
      author: Walsh
      year: 2019
      link: https://doi.org/10.1145/3340531.3412776
  single: true
  statistics:
      entities: 105524
      types: 13
      relations: 17
      triples: 2067997
      training: 1654397
      testing: 206800
      validation: 206800
docstr: Initialize the BioKG dataset from [walsh2020]_.
  
  :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 BioKG dataset from [walsh2020]_.
  
      :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="biokg.links.tsv",
          random_state=random_state,
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/biokg.py
imports: import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import ZipSingleDataset
  from ..typing import TorchRandomHint
label_desc: Use image node_id 1 to create a new BioKG object from inherited base classes: ZipSingleDataset with example: obj = BioKG(random_state)