code: def get_adult_data_info():
      feature_description = {
          "age": "age",
          "workclass": "type of industry (Government, Other/Unknown, Private, Self-Employed)",
          "education": "education level (Assoc, Bachelors, Doctorate, HS-grad, Masters, Prof-school, School, Some-college)",
          "marital_status": "marital status (Divorced, Married, Separated, Single, Widowed)",
          "occupation": "occupation (Blue-Collar, Other/Unknown, Professional, Sales, Service, White-Collar)",
          "race": "white or other race?",
          "gender": "male or female?",
          "hours_per_week": "total work hours per week",
          "income": "0 (<=50K) vs 1 (>50K)",
      }
      return feature_description
  
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 17 for calling a global function with example usage: get_adult_data_info() and returns: feature_description