code: def num_input_features(self) -> int:
      return int(self.x_dict["paper"].shape[1])
  
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 9 for calling the OGBNPapers100MDataset obj's underlying member method code with example usage: obj.num_input_features() and returns: int