code: def get_classification_label_dataset(
      featurizer, config: dict
  ) -> audio_to_label.AudioToClassificationLabelDataset:
      """
      Instantiates a Classification AudioLabelDataset.
  
      Args:
          config: Config of the AudioToClassificationLabelDataset.
  
      Returns:
          An instance of AudioToClassificationLabelDataset.
      """
      dataset = audio_to_label.AudioToClassificationLabelDataset(
          manifest_filepath=config["manifest_filepath"],
          labels=config["labels"],
          featurizer=featurizer,
          max_duration=config.get("max_duration", None),
          min_duration=config.get("min_duration", None),
          trim=config.get("trim_silence", False),
          is_regression_task=config.get("is_regression_task", False),
          cal_labels_occurrence=config.get(
              "cal_labels_occurrence", False
          ),
      )
      return dataset
  
file_path: NeMo/nemo/collections/asr/data/audio_to_label_dataset.py
imports: import copy
  from omegaconf import DictConfig
  from nemo.collections.asr.data import audio_to_label
  from nemo.collections.asr.data.audio_to_text_dataset import convert_to_config_list, get_chain_dataset
  from nemo.collections.asr.parts.preprocessing.perturb import process_augmentations
  from nemo.collections.common.data.dataset import ConcatDataset
label_desc: Use image node_id 1 for calling a global function with example usage: get_classification_label_dataset(featurizer, config) and returns: dataset