class_docstr: The FB15k dataset.
  
  ---
  name: FB15k
  statistics:
      entities: 14951
      relations: 1345
      training: 483142
      testing: 59071
      validation: 50000
      triples: 592213
  citation:
      author: Bordes
      year: 2013
      link: http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf
docstr: Initialize the FreeBase 15K dataset.
  
  :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.TarFileRemoteDataset`.
  
  .. warning:: This dataset contains testing leakage. Use :class:`FB15k237` instead.
code: def __init__(self, **kwargs):
      """Initialize the FreeBase 15K dataset.
  
      :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.TarFileRemoteDataset`.
  
      .. warning:: This dataset contains testing leakage. Use :class:`FB15k237` instead.
      """
      super().__init__(
          url="https://everest.hds.utc.fr/lib/exe/fetch.php?media=en:fb15k.tgz",
          relative_training_path=os.path.join(
              "FB15k", "freebase_mtr100_mte100-train.txt"
          ),
          relative_testing_path=os.path.join(
              "FB15k", "freebase_mtr100_mte100-test.txt"
          ),
          relative_validation_path=os.path.join(
              "FB15k", "freebase_mtr100_mte100-valid.txt"
          ),
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/freebase.py
imports: import os
  import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import PackedZipRemoteDataset, TarFileRemoteDataset
label_desc: Use image node_id 1 to create a new FB15k object from inherited base classes: TarFileRemoteDataset with example: obj = FB15k()