code: def _fetch_remote_data(
      remote, download_dir, data_home, check_md5hash=False
  ):
      """Download a remote dataset.
  
      Parameters
      ----------
  
      remote: DatasetMetadata
          Named tuple containing remote dataset meta information: dataset name, dataset filename,
          url, train filename, validation filename, test filename, train checksum, valid checksum, test checksum.
      download_dir: str
          The location to download the file to.
      data_home: str
          The location to save the dataset.
      check_md5hash: bool
          Whether to check the MD5 hash of the dataset file.
  
      """
  
      file_path = "{}.zip".format(download_dir)
      if not Path(file_path).exists():
          urllib.request.urlretrieve(remote.url, file_path)
          # TODO - add error checking
      _unzip_dataset(remote, file_path, data_home, check_md5hash)
  
imports: import hashlib
  import json
  import logging
  import os
  import urllib
  import zipfile
  from collections import namedtuple
  from pathlib import Path
  import numpy
  import pandas
label_desc: Use image node_id 5 for calling a global function with example usage: _fetch_remote_data(remote, download_dir, data_home, check_md5hash) without return types