code: def model_configs_for_dataset(dataset_name: str) -> Dict[str, Dict]:
      """Returns a dictionary of built-in model configs for the specified dataset.
  
      Maps config name to ludwig config dict.
      """
      return _get_model_configs(dataset_name)
  
file_path: ludwig/ludwig/datasets/utils.py
imports: import os
  from functools import lru_cache
  from typing import Dict
  import yaml
  from ludwig.api_annotations import PublicAPI
  from ludwig.datasets import model_configs
label_desc: Use image node_id 1 for calling a global function with example usage: model_configs_for_dataset(dataset_name) and returns: _get_model_configs