code: def load_custom_testing_dataset_binary_str():
      data = [
          ["a", 1, "zero"],
          ["b", 5, "one"],
          ["c", 2, "zero"],
          ["a", 3, "one"],
          ["c", 4, "one"],
      ]
      return pd.DataFrame(
          data, columns=["Categorical", "Numerical", "Outcome"]
      )
  
imports: import os
  import pickle
  import shutil
  import zipfile
  from urllib.request import urlretrieve
  import numpy
  import pandas
  from sklearn.compose import ColumnTransformer
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
  import dice_ml
label_desc: Use image node_id 7 for calling a global function with example usage: load_custom_testing_dataset_binary_str() and returns: pd