code: def get_config(run_local: str = "") -> ml_collections.ConfigDict:
      """Returns the experiment configuration."""
      config = mixin_dmvr.get_config(run_local)
      config.trainer_name = "zero_shot_classification_trainer"
      config.dataset_name = "ucf101_dmvr"
      config.dataset_canonical_name = "ucf101"
      config.dataset_configs.is_classification = True
      config.dataset_configs.split_number = 1
      config.dataset_configs.val_on_test = (
          True  # It doesn't have a val split.
      )
      config.class_templates = (
          ["{}"] if run_local else base_clip.CLIP_UCF_TEMPLATES
      )
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config(run_local) and returns: config