code: def housing_data() -> Tuple[pd.DataFrame, pd.DataFrame, str]:
      target_feature = "TARGET"
      (
          X_train,
          X_test,
          y_train,
          y_test,
          feature_names,
      ) = create_housing_data(create_small_dataset=False)
      train_df = pd.DataFrame(X_train, columns=feature_names)
      train_df[target_feature] = y_train
      test_df = pd.DataFrame(X_test, columns=feature_names)
      test_df[target_feature] = y_test
      return train_df, test_df, target_feature
  
file_path: responsible-ai-toolbox/responsibleai/tests/causal/conftest.py
imports: import copy
  from typing import List, Tuple
  import numpy
  import pandas
  import pytest
  import shap
  from sklearn.model_selection import train_test_split
  from tests.common_utils import create_adult_income_dataset
  from rai_test_utils.datasets.tabular import create_housing_data
label_desc: Use image node_id 2 for calling a global function with example usage: housing_data() and returns: train_df,  test_df,  target_feature