class_docstr: The ConceptNet dataset from [speer2017]_.
  
  The dataset is structured into 5 columns (see https://github.com/commonsense/conceptnet5/wiki/Downloads#assertions):
  edge URL, relation, head, tail, metadata.
  
  ---
  name: ConceptNet
  citation:
      author: Speer
      year: 2017
      link: https://arxiv.org/abs/1612.03975
      github: commonsense/conceptnet5
  single: true
  statistics:
      entities: 28370083
      relations: 50
      triples: 34074917
      training: 27259933
      testing: 3407492
      validation: 3407492
docstr: Initialize the `ConceptNet <https://github.com/commonsense/conceptnet5>`_ dataset from [speer2017]_.
  
  :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 `ConceptNet <https://github.com/commonsense/conceptnet5>`_ dataset from [speer2017]_.
  
      :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=[2, 1, 3],
              header=None,
          ),
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/conceptnet.py
imports: import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import SingleTabbedDataset
  from ..typing import TorchRandomHint
label_desc: Use image node_id 1 to create a new ConceptNet object from inherited base classes: SingleTabbedDataset with example: obj = ConceptNet(random_state)