code: def public_data_object():
      """
      Returns a public data object for the adult income dataset
      """
      dataset = helpers.load_adult_income_dataset()
      return dice_ml.Data(
          dataframe=dataset,
          continuous_features=["age", "hours_per_week"],
          outcome_name="income",
      )
  
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 22 for calling a global function with example usage: public_data_object() and returns: dice_ml