code: def load_custom_vars_testing_dataset():
      data = [
          ["a", 0, 10, 0],
          ["b", 1, 10000, 1],
          ["c", 0, 14, 0],
          ["a", 2, 88, 0],
          ["c", 1, 14, 0],
      ]
      return pd.DataFrame(
          data,
          columns=[
              "Categorical",
              "CategoricalNum",
              "Numerical",
              "Outcome",
          ],
      )
  
imports: from collections import OrderedDict
  from itertools import product
  import pandas
  import pytest
  import torch
  from rai_test_utils.models.sklearn import create_complex_classification_pipeline, create_complex_regression_pipeline
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.neuralnetworks import FFNetwork
label_desc: Use image node_id 30 for calling a global function with example usage: load_custom_vars_testing_dataset() and returns: pd