code: def create_complex_titanic_data():
      """Create complex Titanic dataset for classification.
  
      return: Tuple of X_train, X_test, y_train, y_test.
      rtype: Tuple of pd.DataFrame, pd.DataFrame, numpy.ndarray, numpy.ndarray
      """
      titanic_url = (
          "https://raw.githubusercontent.com/amueller/"
          "scipy-2017-sklearn/091d371/notebooks/datasets/titanic3.csv"
      )
      data = read_csv(titanic_url)
      X = data.drop("survived", axis=1)
      y = data["survived"]
  
      return train_test_split(X, y, test_size=0.2, random_state=42)
  
file_path: responsible-ai-toolbox/rai_test_utils/rai_test_utils/datasets/tabular/classification_data_utils.py
imports: import numpy
  import pandas
  import shap
  from pandas import read_csv
  from sklearn.datasets import load_breast_cancer, load_iris, load_wine, make_classification
  from sklearn.model_selection import train_test_split
  from rai_test_utils.utilities import retrieve_dataset
label_desc: Use image node_id 8 for calling a global function with example usage: create_complex_titanic_data() and returns: train_test_split