code: def create_metadata_speechbrain_file(data_folder):
      """Get path to file given slice file name and fold number
      Arguments
      ---------
      data_folder : str
          ESC50 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
  
      esc50_metadata_csv_path = os.path.join(
          os.path.abspath(data_folder), "meta/esc50.csv"
      )
      if not os.path.exists(esc50_metadata_csv_path):
          return None
  
      esc50_metadata_df = pd.read_csv(esc50_metadata_csv_path)
      # SpeechBrain wants an ID column
      esc50_metadata_df["ID"] = esc50_metadata_df.apply(
          lambda row: removesuffix(row["filename"], ".wav"), axis=1
      )
      esc50_metadata_df = esc50_metadata_df.rename(
          columns={"category": "class_string"}
      )
  
      esc50_speechbrain_metadata_csv_path = os.path.join(
          os.path.abspath(data_folder),
          "meta/",
          MODIFIED_METADATA_FILE_NAME,
      )
      esc50_metadata_df.to_csv(
          esc50_speechbrain_metadata_csv_path, index=False
      )
      return esc50_speechbrain_metadata_csv_path
  
file_path: speechbrain/recipes/ESC50/interpret/esc50_prepare.py
imports: import os
  import shutil
  import json
  import logging
  import torchaudio
  from speechbrain.dataio.dataio import read_audio
  from speechbrain.dataio.dataio import load_data_csv
  from speechbrain.utils.fetching import fetch
label_desc: Use image node_id 7 for calling a global function with example usage: create_metadata_speechbrain_file(data_folder) and returns: esc50_speechbrain_metadata_csv_path, None