class_docstr: Class balanced subset of Imagenet 2012 dataset for few-shot learning.
code: def _info(self):
      names_file = imagenet_common.label_names_file()
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(),
                  "label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
                  "file_name": tfds.features.Text(),  # Eg: 'n15075141_54.JPEG'
              }
          ),
          supervised_keys=("image", "label"),
          homepage="http://image-net.org/",
      )
  
file_path: datasets/tensorflow_datasets/datasets/imagenet2012_fewshot/imagenet2012_fewshot_dataset_builder.py
imports: import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.imagenet2012 import imagenet_common
  from tensorflow_datasets.datasets.imagenet2012_subset import imagenet2012_subset_dataset_builder
  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