code: def load_citeulike(dataset_folder="dataset/"):
      raw_data = dict()
      raw_data["total_users"] = 5551
      raw_data["total_items"] = 16980
  
      raw_data["train_data"] = np.load(
          dataset_folder + "citeulike/user_data_train.npy"
      )
      raw_data["val_data"] = np.load(
          dataset_folder + "citeulike/user_data_val.npy"
      )
      raw_data["test_data"] = np.load(
          dataset_folder + "citeulike/user_data_test.npy"
      )
  
      return raw_data
  
imports: import tensorflow
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: load_citeulike(dataset_folder) and returns: raw_data