class_docstr: DatasetBuilder for domainnet dataset.
docstr: Returns the dataset metadata.
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          citation=_CITATION,
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(shape=(None, None, 3)),
                  "label": tfds.features.ClassLabel(names=_CLASS_NAMES),
              }
          ),
          homepage=_HOMEPAGE,
          supervised_keys=("image", "label"),
      )
  
file_path: datasets/tensorflow_datasets/image_classification/domainnet/domainnet.py
imports: import dataclasses
  import os
  from typing import Any, Dict, Iterator, Optional, Text, Tuple
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Domainnet obj's underlying member method code with example usage: obj._info() and returns: tfds