code: def download(self):
      import zipfile
      import tarfile
      import shutil
  
      for dload in self.downloads:
          filename = os.path.join(self.root, dload["filename"])
          if os.path.isfile(filename):
              continue
  
          download_url(
              dload["url"], self.root, dload["filename"], dload["md5"]
          )
  
          if "zip" in dload["filename"]:
              with zipfile.ZipFile(filename, "r") as f:
                  f.extractall(self.root)
          elif "tar" in dload["filename"]:
              with tarfile.open(filename, "r") as f:
                  f.extractall(self.root)
  
imports: import os
  import json
  import glob
  import h5py
  from PIL import Image, ImageOps
  from torchmeta.utils.data import Dataset, ClassDataset, CombinationMetaDataset
  from torchvision.datasets.utils import list_dir, download_url
  from torchmeta.datasets.utils import get_asset
  import numpy
label_desc: Use image node_id 8 for calling the Pascal5iClassDataset obj's underlying member method code with example usage: obj.download() without return types