code: def __init__(self, root: str = "dataset"):
      if isinstance(root, str):
          root = osp.expanduser(osp.normpath(root))
      self.root = root
      self.dir = osp.join(root, "mag240m_kddcup2021")
  
      if osp.isdir(self.dir) and (
          not osp.exists(
              osp.join(self.dir, f"RELEASE_v{self.version}.txt")
          )
      ):
          print("MAG240M dataset has been updated.")
          if input("Will you update the dataset now? (y/N)\n") == "y":
              shutil.rmtree(osp.join(self.dir))
  
      self.download()
      self.__meta__ = torch.load(osp.join(self.dir, "meta.pt"))
      self.__split__ = torch.load(osp.join(self.dir, "split_dict.pt"))
  
      split_test(self.__split__)
  
imports: from typing import Optional, Union, Dict
  import os
  import shutil
  import os.path
  import torch
  import numpy
  from ogb.utils.url import decide_download, download_url, extract_zip, makedirs
  from ogb.lsc.utils import split_test
label_desc: Use image node_id 1 to create a new MAG240MDataset object from inherited base classes: object with example: obj = MAG240MDataset(root)