code: def parse(
      root,
      channels,
      filenames,
      save_folder,
      method,
      task,
      corpus,
  ):
      """
      Parse data for the train, dev and test csv files of the Media dataset.
      Files are stored in MEDIA1FR_00/MEDIA1FR/DATA/.
      They are the original xml files used by the community for train, dev and test.
  
      Arguments
      ---------
      root: Document
          Object representing the content of the Media xml document being processed.
      channels: list of str
          Channels (Right / Left) of the stereo recording to keep.
      filenames: list of str
          Linked IDs of the recordings, for the channels to keep.
      save_folder: str
          Path where the csvs and preprocessed wavs will be stored.
      method: str
          Either 'full' or 'relax'.
      task: str
          Either 'asr' or 'slu'.
      corpus: str
          'train', 'dev' or 'test'.
  
      Returns
      -------
      list
          all informations needed to append the data in SpeechBrain csv files.
      """
  
      data = []
  
      for dialogue in root.getElementsByTagName("dialogue"):
          speaker_name = get_speaker(dialogue)
          filename = dialogue.getAttribute("id")
          channel = get_channel(filename, channels, filenames)
  
          for turn in dialogue.getElementsByTagName("turn"):
              if turn.getAttribute("speaker") == "spk":
                  time_beg = turn.getAttribute("startTime")
                  time_end = turn.getAttribute("endTime")
  
                  sentences = parse_sentences(
                      turn, time_beg, time_end, method, task
                  )
  
                  data.append(
                      [channel, filename, speaker_name, sentences]
                  )
  
      return data
  
imports: import xml.dom.minidom
  from tqdm import tqdm
  import logging
  import subprocess
  import csv
  import os
  import glob
  import re
label_desc: Use image node_id 3 for calling a global function with example usage: parse(root, channels, filenames, save_folder, method, task, corpus) and returns: data