code: def train_dict(self) -> Dict[str, torch.Tensor]:
      if self.__train is None:
          self.__get_labels()
      return self.__train
  
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 6 for calling the OGBNPapers100MDataset obj's underlying member method code with example usage: obj.train_dict() and returns: self