class_docstr: Contains transductive train and inductive inference/validation/test datasets.
class_docstr_tok: ["Contains","transductive","train","and","inductive","inference\/validation\/test","datasets","."]
docstr: Print a summary of the dataset.
docstr_tok: ["Print","a","summary","of","the","dataset","."]
code: def summarize(
      self,
      title: Optional[str] = None,
      show_examples: Optional[int] = 5,
      file=None,
  ) -> None:
      """Print a summary of the dataset."""
      print(
          self.summary_str(title=title, show_examples=show_examples),
          file=file,
      )
  
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 3 for calling the InductiveDataset obj's underlying member method code with example usage: obj.summarize(title, show_examples, file) without return types