class_docstr: DatasetBuilder for WikiDialog from dialog inpainter.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "title": tfds.features.Text(),
                  "pid": tfds.features.Text(),
                  "passage": tfds.features.Text(),
                  "sentences": tfds.features.Sequence(
                      tfds.features.Text()
                  ),
                  "utterances": tfds.features.Sequence(
                      tfds.features.Text()
                  ),
                  "author_num": tfds.features.Sequence(
                      tfds.features.Tensor(shape=[], dtype=np.int32)
                  ),
              }
          ),
          citation=_CITATION,
          homepage=(
              "https://github.com/google-research/dialog-inpainting#wikidialog-oq"
          ),
      )
  
file_path: datasets/tensorflow_datasets/text/wiki_dialog/wiki_dialog.py
imports: import json
  import os
  from typing import Any, Dict, Sequence, Tuple
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the WikiDialog obj's underlying member method code with example usage: obj._info() and returns: tfds