code: def main():
      if len(sys.argv) != 3:
          print(
              "Usage: %s <musan_dir> <download_dir>" % sys.argv[0],
              file=sys.stderr,
          )
          return 1
  
      musan_dir = sys.argv[1]
      download_dir = sys.argv[2]
  
      ds = load_dataset(
          "reazon-research/reazonspeech", "all", cache_dir=download_dir
      )["train"]
      save_kaldi_format("data/dev", musan_dir, ds.select(range(1000)))
      save_kaldi_format(
          "data/test", musan_dir, ds.select(range(1000, 1100))
      )
      save_kaldi_format(
          "data/train", musan_dir, ds.select(range(1100, ds.num_rows))
      )
  
file_path: espnet/egs2/reazonspeech/asr1/local/data.py
imports: import getopt
  import glob
  import os
  import random
  import shlex
  import sys
  from datasets import load_dataset
label_desc: Use image node_id 7 for calling a global function with example usage: main() and returns: int