code: def get_feature_multi_label_dataset(
      config: dict, augmentor: Optional["FeatureAugmentor"] = None
  ) -> feature_to_label.FeatureToMultiLabelDataset:
      dataset = feature_to_label.FeatureToMultiLabelDataset(
          manifest_filepath=config["manifest_filepath"],
          labels=config["labels"],
          augmentor=augmentor,
          delimiter=config.get("delimiter", None),
          is_regression_task=config.get("is_regression_task", False),
          cal_labels_occurrence=config.get(
              "cal_labels_occurrence", False
          ),
          zero_spec_db_val=config.get("zero_spec_db_val", -16.635),
          max_duration=config.get("max_duration", None),
          min_duration=config.get("min_duration", None),
      )
      return dataset
  
imports: from typing import Optional
  from nemo.collections.asr.data import feature_to_label
label_desc: Use image node_id 3 for calling a global function with example usage: get_feature_multi_label_dataset(config, augmentor) and returns: dataset