code: def _generate_builder_configs():
      """Generate configs with different subsets of mathematics dataset."""
      configs = []
      for module in sorted(set(_MODULES)):
          configs.append(
              tfds.core.BuilderConfig(
                  name=module,
                  version=tfds.core.Version("1.0.0"),
              )
          )
  
      return configs
  
file_path: datasets/tensorflow_datasets/datasets/math_dataset/math_dataset_dataset_builder.py
imports: import os
  from absl import logging
  from etils import epath
  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: _generate_builder_configs() and returns: configs