code: def load_tradesy():
      raw_data = dict()
      raw_data["max_user"] = 19243
      raw_data["max_item"] = 165906
  
      raw_data["train_data"] = np.load(
          "dataset/tradesy/user_data_train.npy"
      )
      raw_data["val_data"] = np.load(
          "dataset/tradesy/user_data_val.npy"
      )
      raw_data["test_data"] = np.load(
          "dataset/tradesy/user_data_test.npy"
      )
  
      raw_data["item_features"] = (
          np.load("dataset/tradesy/item_features.npy") / 32.671101
      )
      return raw_data
  
label_desc: Use image node_id 3 for calling a global function with example usage: load_tradesy() and returns: raw_data