code: def make_parser():
      """
      Additional args:
          1. Provide the dataset dir path using --data.
          2. Loading the dataset doesn't require config, provide --config-yaml to apply additional feature transforms
      """
      parser = options.get_speech_generation_parser()
      parser.add_argument(
          "--subset",
          default=None,
          type=str,
          required=True,
          help="Subset to use for dataset generation",
      )
      parser.add_argument(
          "--dataset-save-dir",
          default=None,
          type=str,
          required=False,
          help="Dir path in which the datasets are to be saved",
      )
      parser.add_argument(
          "--ref-dataset",
          default=None,
          type=str,
          required=False,
          help="If provided, the ids in the reference dataset will be used to filter the new dataset generated.",
      )
      parser.add_argument(
          "--dataset-save-token", default="", type=str, required=False
      )
  
      options.add_generation_args(parser)
      return parser
  
imports: from fairseq import tasks
  import numpy
  import logging
  import random
  from fairseq import options
  import torch
  import os
  import soundfile
  from fairseq.data.audio.audio_utils import get_waveform, parse_path
label_desc: Use image node_id 12 for calling a global function with example usage: make_parser() and returns: parser