class_docstr: The triples-only version of WD50K.
  
  ---
  name: WD50K (triples)
  citation:
      author: Galkin
      year: 2020
      link: https://www.aclweb.org/anthology/2020.emnlp-main.596/
      arxiv: 2009.10847
      github: migalkin/StarE
  statistics:
      entities: 40107
      relations: 473
      training: 164631
      testing: 45284
      validation: 22429
      triples: 232344
docstr: Initialize the WD50K (triples) dataset from [galkin2020]_.
  
  :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.UnpackedRemoteDataset`.
docstr_tok: ["Initialize","the","WD50K","(","triples",")","dataset","from","[","galkin2020","]","_.",":","param","kwargs",":","keyword","arguments","passed","to",":","class",":","`","pykeen.datasets.base.UnpackedRemoteDataset","`","."]
code: def __init__(self, **kwargs):
      """Initialize the WD50K (triples) dataset from [galkin2020]_.
  
      :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.UnpackedRemoteDataset`.
      """
      super().__init__(
          training_url=TRIPLES_TRAIN_URL,
          testing_url=TRIPLES_TEST_URL,
          validation_url=TRIPLES_VALID_URL,
          load_triples_kwargs={"delimiter": ","},
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/wd50k.py
imports: import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import UnpackedRemoteDataset
label_desc: Use image node_id 1 to create a new WD50KT object from inherited base classes: UnpackedRemoteDataset with example: obj = WD50KT()