code: def segment_dataset(args, dataset):
      root_path = os.path.join(args.src_data, dataset)
      transcriptions_path = os.path.join(
          args.src_data, "segments", "transcriptions.txt"
      )
      for singer_folder in os.listdir(root_path):
          # starts with number
          if not singer_folder[0].isdigit():
              continue
          singer_path = os.path.join(root_path, singer_folder)
          if not os.path.isdir(singer_path):
              continue  # Skip files
          singer_id = re.findall(r"\d+", singer_folder)[0]
          output_temp = (
              os.path.join(root_path, "segments") + f"/{singer_id}"
          )
          print(f"Processing {singer_folder}")
          for song_folder in tqdm(os.listdir(singer_path)):
              song_path = os.path.join(singer_path, song_folder)
              if not os.path.isdir(song_path):
                  continue
              for file in os.listdir(song_path):
                  if file.endswith(".wav") and not file.startswith(
                      "._"
                  ):
                      audio_file_name = file
                      break
                  else:
                      continue
              audio_path = os.path.join(song_path, audio_file_name)
              if not os.path.exists(audio_path):
                  continue  # Skip if the audio file does not exist
              audio = AudioSegment.from_wav(audio_path)
              (
                  total_durations,
                  total_pitches,
                  midi_notes,
                  midis,
              ) = load_and_process_transcriptions(
                  args.src_data, transcriptions_path, song_folder
              )
              midi_mapping = load_midi_note_scp(args.midi_note_scp)
              segment_audio(
                  audio,
                  total_durations,
                  total_pitches,
                  midi_mapping,
                  midi_notes,
                  midis,
                  output_temp,
              )
  
imports: import argparse
  import logging
  import os
  import re
  import shutil
  import librosa
  import miditoolkit
  import numpy
  from tqdm import tqdm
  from espnet2.fileio.score_scp import SingingScoreWriter
label_desc: Use image node_id 7 for calling a global function with example usage: segment_dataset(args, dataset) without return types