class_docstr: The CSKG dataset.
  
  The CSKG combines several knowledge graphs with "common sense" knowledge.
  ---
  name: Commonsense Knowledge Graph
  citation:
      author: Ilievski
      year: 2020
      link: http://arxiv.org/abs/2012.11490
      github: usc-isi-i2/cskg
  single: true
  statistics:
      entities: 2087833
      relations: 58
      triples: 4598728
      training: 4598728
      testing: 574841
      validation: 574842
docstr: Initialize the `CSKG <https://github.com/usc-isi-i2/cskg>`_ dataset from [ilievski2020]_.
  
  :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.SingleTabbedDataset`.
docstr_tok: ["Initialize","the","`","CSKG","<","https",":","\/\/github.com\/usc-isi-i2\/cskg",">","`","_","dataset","from","[","ilievski2020","]","_.",":","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.SingleTabbedDataset","`","."]
code: def __init__(self, random_state: TorchRandomHint = 0, **kwargs):
      """Initialize the `CSKG <https://github.com/usc-isi-i2/cskg>`_ dataset from [ilievski2020]_.
  
      :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.SingleTabbedDataset`.
      """
      super().__init__(
          url=URL,
          random_state=random_state,
          read_csv_kwargs=dict(
              usecols=["node1", "relation", "node2"],
          ),
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/cskg.py
imports: import logging
  from docdata import parse_docdata
  from .base import SingleTabbedDataset
  from ..typing import TorchRandomHint
label_desc: Use image node_id 1 to create a new CSKG object from inherited base classes: SingleTabbedDataset with example: obj = CSKG(random_state)