code: def _make_builder_configs():
      """Returns BuilderConfigs."""
      configs = []
      for size in [8, 16, 32, 64]:
          configs.append(
              ImagenetResizedConfig(
                  name="%dx%d" % (size, size),
                  size=size,
                  description=f"Images resized to {size}x{size}",
              ),
          )
      return configs
  
file_path: datasets/tensorflow_datasets/datasets/imagenet_resized/imagenet_resized_dataset_builder.py
imports: import io
  import itertools
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _make_builder_configs() and returns: configs