code: def parks_data() -> Tuple[pd.DataFrame, pd.DataFrame, str]:
      feature_names = ["state", "population", "attraction", "area"]
      train_df = pd.DataFrame(
          [
              ["massachusetts", 3129, "trees", 11],
              ["utah", 41891, "rocks", 51],
              ["california", 193912, "trees", 62],
              ["california", 123901, "trees", 25],
              ["utah", 39012, "rocks", 34],
              ["colorado", 30102, "rocks", 40],
              ["massachusetts", 4222, "trees", 15],
              ["colorado", 20342, "rocks", 42],
              ["arizona", 3201, "rocks", 90],
              ["massachusetts", 3129, "trees", 11],
              ["utah", 41891, "rocks", 51],
              ["california", 193912, "trees", 62],
              ["california", 123901, "trees", 25],
              ["utah", 39012, "rocks", 34],
              ["colorado", 30102, "rocks", 40],
              ["massachusetts", 4222, "trees", 15],
              ["colorado", 20342, "rocks", 42],
              ["arizona", 3201, "rocks", 90],
          ],
          columns=feature_names,
      )
  
      test_df = pd.DataFrame(
          [
              ["california", 323412, "trees", 102],
              ["utah", 5103, "rocks", 23],
              ["colorado", 4312, "rocks", 19],
              ["california", 203912, "trees", 202],
              ["utah", 5102, "rocks", 21],
              ["colorado", 8120, "rocks", 31],
          ],
          columns=feature_names,
      )
  
      target_feature = "area"
      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 5 for calling a global function with example usage: parks_data() and returns: train_df,  test_df,  target_feature