class_docstr: The inductive NELL dataset in 4 versions.
  
  ---
  name: NELL
  citation:
      author: Teru
      year: 2020
      link: https://arxiv.org/abs/1911.06962
      github: kkteru/grail
  V1:
      transductive train entities: 3103
      relations: 14
      transductive train triples: 4687
      inductive inference entities: 225
      inductive inference relations: 14
      inductive inference triples: 833
      inductive validation triples: 101
      inductive test triples: 100
  V2:
      transductive train entities: 2564
      relations: 88
      transductive train triples: 8219
      inductive inference entities: 2086
      inductive inference relations: 88
      inductive inference triples: 4586
      inductive validation triples: 459
      inductive test triples: 476
  V3:
      transductive train entities: 4647
      relations: 142
      transductive train triples: 16393
      inductive inference entities: 3566
      inductive inference relations: 142
      inductive inference triples: 8048
      inductive validation triples: 811
      inductive test triples: 809
  V4:
      transductive train entities: 2092
      relations: 76
      transductive train triples: 7546
      inductive inference entities: 2795
      inductive inference relations: 76
      inductive inference triples: 7073
      inductive validation triples: 716
      inductive test triples: 731
docstr: Initialize a particular version of a dataset (out of 4) from [teru2020]_.
  
  :param version: v1 / v2 / v3 / v4 , differ in the sizes of train and inductive inference graphs
  :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.UnpackedRemoteDataset`.
docstr_tok: ["Initialize","a","particular","version","of","a","dataset","(","out","of","4",")","from","[","teru2020","]","_.",":","param","version",":","v1","\/","v2","\/","v3","\/","v4",",","differ","in","the","sizes","of","train","and","inductive","inference","graphs",":","param","kwargs",":","keyword","arguments","passed","to",":","class",":","`","pykeen.datasets.base.UnpackedRemoteDataset","`","."]
code: def __init__(self, version: str = "v1", **kwargs):
      """Initialize a particular version of a dataset (out of 4) from [teru2020]_.
  
      :param version: v1 / v2 / v3 / v4 , differ in the sizes of train and inductive inference graphs
      :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.UnpackedRemoteDataset`.
      """
      super().__init__(
          transductive_training_url=NELL_TRAIN_URL.format(
              base_url=BASE_URL, version=version
          ),
          inductive_inference_url=NELL_INDUCTIVE_INFERENCE_URL.format(
              base_url=BASE_URL, version=version
          ),
          inductive_validation_url=NELL_INDUCTIVE_VALIDATION_URL.format(
              base_url=BASE_URL, version=version
          ),
          inductive_testing_url=NELL_INDUCTIVE_TEST_URL.format(
              base_url=BASE_URL, version=version
          ),
          version=version,
          eager=True,
          **kwargs,
      )
  
file_path: pykeen/src/pykeen/datasets/inductive/ilp_teru.py
imports: import click
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import UnpackedRemoteDisjointInductiveDataset
label_desc: Use image node_id 1 to create a new InductiveNELL object from inherited base classes: UnpackedRemoteDisjointInductiveDataset with example: obj = InductiveNELL(version)