code: def _get_builder_configs():
      """Returns the list of builder configs for the dataset."""
      configs = []
      for short_name, full_name, num_classes in [
          ("aircraft", "Aircraft", 100),
          ("cifar100", "CIFAR-100", 100),
          ("daimlerpedcls", "Daimler Pedestrian Classification", 2),
          ("dtd", "Describable Textures", 47),
          ("gtsrb", "German Traffic Signs", 43),
          ("imagenet12", "Imagenet", 1000),
          ("omniglot", "Omniglot", 1623),
          ("svhn", "Street View House Numbers", 10),
          ("ucf101", "UCF101 Dynamic Images", 101),
          ("vgg-flowers", "VGG-Flowers", 102),
      ]:
          description = _CONFIG_DESCRIPTION_PATTERN.format(full_name)
          configs.append(
              VisualDomainDecathlonConfig(
                  name=short_name,
                  num_classes=num_classes,
                  description=description,
              )
          )
      return configs
  
file_path: datasets/tensorflow_datasets/image_classification/visual_domain_decathlon.py
imports: import json
  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 a global function with example usage: _get_builder_configs() and returns: configs