code: def __init__(
      self,
      *,
      replication_factor=1,
      dataset_dir=".",
      train_split=0.8,
      val_split=0.5,
      load_edge_index=True,
  ):
      self.__replication_factor = replication_factor
      self.__disk_x = None
      self.__y = None
      self.__edge_index = None
      self.__dataset_dir = dataset_dir
      self.__train_split = train_split
      self.__val_split = val_split
      self.__load_edge_index = load_edge_index
  
imports: from .dataset import Dataset
  from typing import Dict, Tuple, Union
  import pandas
  import torch
  import numpy
  from sklearn.model_selection import train_test_split
  import gc
  import os
  import json
label_desc: Use image node_id 1 to create a new OGBNPapers100MDataset object from inherited base classes: Dataset with example: obj = OGBNPapers100MDataset()