code: def get_config(run_local: str = "") -> ml_collections.ConfigDict:
      """Returns the experiment configuration."""
      config = mixin.get_config(run_local)
  
      config.dataset_configs = ml_collections.ConfigDict()
  
      config.dataset_configs.load_train = False
      config.dataset_configs.load_test = False
  
      config.dataset_configs.val_on_test = False
      config.dataset_configs.test_on_val = (
          False  # TODO(sacastro): unused.
      )
  
      config.dataset_configs.keep_val_key = True
      config.dataset_configs.keep_test_key = (
          True  # TODO(sacastro): unused.
      )
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config(run_local) and returns: config