class_docstr: A smaller subset of 10 easily classified classes from Imagenet.
code: def _info(self):
      names_file = tfds.core.tfds_path(_LABELS_FNAME)
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(encoding_format="jpeg"),
                  "label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://github.com/fastai/imagenette",
      )
  
file_path: datasets/tensorflow_datasets/datasets/imagenette/imagenette_dataset_builder.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 Builder obj's underlying member method code with example usage: obj._info() and returns: self