text: import pickle
  
  from sklearn.utils import shuffle
  
  def load_XYs(**params):
  
  	print ("Trying to load_XYs...")
  
  	embedding_type = params.get("embedding_type")
  
  	base_dir = './Data/'
  	with open(base_dir + f"{embedding_type}_X_train.pkl", 'rb') as f:
  		X_train = pickle.load(f)
  
  	with open(base_dir + f"{embedding_type}_Y_train.pkl", 'rb') as f:
  		Y_train = pickle.load(f)
  
  	with open(base_dir + f"{embedding_type}_X_test.pkl", 'rb') as f:
  		X_test = pickle.load(f)
  
  	with open(base_dir + f"{embedding_type}_Y_test.pkl", 'rb') as f:
  		Y_test = pickle.load(f)
  
  	X_train, Y_train = shuffle(X_train, Y_train, random_state=42)
  
  	return X_train, Y_train, X_test, Y_test