code: def get_feature_seq_speakerlabel_dataset(
      feature_loader, config: dict
  ) -> feature_to_label.FeatureToSeqSpeakerLabelDataset:
      """
      Instantiates a FeatureSeqSpeakerLabelDataset.
      Args:
          config: Config of the FeatureToSeqSpeakerLabelDataset.
  
      Returns:
          An instance of FeatureToSeqSpeakerLabelDataset.
      """
      dataset = feature_to_label.FeatureToSeqSpeakerLabelDataset(
          manifest_filepath=config["manifest_filepath"],
          labels=config["labels"],
          feature_loader=feature_loader,
      )
      return dataset
  
imports: from typing import Optional
  from nemo.collections.asr.data import feature_to_label
label_desc: Use image node_id 1 for calling a global function with example usage: get_feature_seq_speakerlabel_dataset(feature_loader, config) and returns: dataset