class_docstr: Describable Textures Dataset (DTD).
code: def _info(self):
      names_file = tfds.core.tfds_path(
          os.path.join("image_classification", "dtd_key_attributes.txt")
      )
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "file_name": tfds.features.Text(),
                  "image": tfds.features.Image(),
                  "label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
              }
          ),
          homepage=_URL,
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/dtd.py
imports: import os
  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 Dtd obj's underlying member method code with example usage: obj._info() and returns: tfds