class_docstr: Contains transductive train and inductive inference/validation/test datasets.
class_docstr_tok: ["Contains","transductive","train","and","inductive","inference\/validation\/test","datasets","."]
code: def _summary_rows(self):
      return [
          (
              label,
              triples_factory.num_entities,
              triples_factory.num_relations,
              triples_factory.num_triples,
          )
          for label, triples_factory in zip(
              (
                  "Transductive Training",
                  "Inductive Inference",
                  "Inductive Testing",
                  "Inductive Validation",
              ),
              (
                  self.transductive_training,
                  self.inductive_inference,
                  self.inductive_testing,
                  self.inductive_validation,
              ),
          )
      ]
  
imports: from __future__ import annotations
  import logging
  import pathlib
  from dataclasses import dataclass
  from typing import Any, Iterable, Mapping, Optional, Union
  from pystow.utils import download, name_from_url
  from tabulate import tabulate
  from ...constants import PYKEEN_DATASETS
  from ...triples import CoreTriplesFactory, TriplesFactory
  from ...utils import normalize_path
label_desc: Use image node_id 1 for calling the InductiveDataset obj's underlying member method code with example usage: obj._summary_rows() and returns: unknown