code: def get_dataset():
      (x_train, y_train), (
          x_valid,
          y_valid,
      ) = tf.keras.datasets.cifar10.load_data()
      x_train, x_valid = x_train / 255.0, x_valid / 255.0
      train_set = (x_train, y_train)
      valid_set = (x_valid, y_valid)
      return train_set, valid_set
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_dataset() and returns: train_set,  valid_set