code: def download_mini_librispeech(destination):
      """Download dataset and unpack it.
  
      Arguments
      ---------
      destination : str
          Place to put dataset.
      """
      train_archive = os.path.join(destination, "train-clean-5.tar.gz")
      valid_archive = os.path.join(destination, "dev-clean-2.tar.gz")
      test_archive = os.path.join(destination, "test-clean.tar.gz")
      download_file(MINILIBRI_TRAIN_URL, train_archive)
      download_file(MINILIBRI_VALID_URL, valid_archive)
      download_file(MINILIBRI_TEST_URL, test_archive)
      shutil.unpack_archive(train_archive, destination)
      shutil.unpack_archive(valid_archive, destination)
      shutil.unpack_archive(test_archive, destination)
  
file_path: speechbrain/templates/speech_recognition/ASR/mini_librispeech_prepare.py
imports: import os
  import json
  import shutil
  import logging
  from speechbrain.utils.data_utils import get_all_files, download_file
  from speechbrain.dataio.dataio import read_audio
label_desc: Use image node_id 6 for calling a global function with example usage: download_mini_librispeech(destination) without return types