code: def __init__(self, g, num_labels, predict_category=None):
      self._g = g
      self._num_labels = num_labels
      self._predict_category = predict_category
  
imports: import inspect
  import json
  import os
  import pickle
  import shutil
  import time
  import zipfile
  from functools import partial, reduce, wraps
  from timeit import default_timer
  import dgl
  import numpy
  import pandas
  import requests
  import torch
  from ogb.nodeproppred import DglNodePropPredDataset
  import traceback
  from _thread import start_new_thread
  import torch.multiprocessing
label_desc: Use image node_id 1 to create a new OGBDataset object from inherited base classes: object with example: obj = OGBDataset(g, num_labels, predict_category)