code: def create_metadata_speechbrain_file(data_folder):
      """Get path to file given slice file name and fold number
      Arguments
      ---------
      data_folder : str
          UrbanSound8k data folder.
      Returns
      ------
      string containing absolute path to metadata csv file modified for SpeechBrain or None if source file not found
      """
      import pandas as pd
  
      urban_sound_8k_metadata_csv_path = os.path.join(
          os.path.abspath(data_folder), "metadata/UrbanSound8K.csv"
      )
      if not os.path.exists(urban_sound_8k_metadata_csv_path):
          return None
  
      urbansound_metadata_df = pd.read_csv(
          urban_sound_8k_metadata_csv_path
      )
      # SpeechBrain wants an ID column
      urbansound_metadata_df["ID"] = urbansound_metadata_df.apply(
          lambda row: removesuffix(row["slice_file_name"], ".wav"),
          axis=1,
      )
      urbansound_metadata_df = urbansound_metadata_df.rename(
          columns={"class": "class_string"}
      )
  
      urban_sound_speechbrain_metadata_csv_path = os.path.join(
          os.path.abspath(data_folder),
          "metadata/",
          MODIFIED_METADATA_FILE_NAME,
      )
      urbansound_metadata_df.to_csv(
          urban_sound_speechbrain_metadata_csv_path, index=False
      )
      return urban_sound_speechbrain_metadata_csv_path
  
file_path: speechbrain/recipes/UrbanSound8k/SoundClassification/urbansound8k_prepare.py
imports: import os
  import json
  import logging
  import ntpath
  import torchaudio
  from speechbrain.dataio.dataio import read_audio
  from speechbrain.dataio.dataio import load_data_csv
label_desc: Use image node_id 6 for calling a global function with example usage: create_metadata_speechbrain_file(data_folder) and returns: urban_sound_speechbrain_metadata_csv_path, None