code: def create_wine_data():
      """Create Wine dataset for classification.
  
      return: Tuple of X_train, X_test, y_train, y_test, feature_names, classes.
      rtype: Tuple of pandas.DataFrame, pandas.DataFrame,
             numpy.ndarray, numpy.ndarray, list, list
      """
      wine = load_wine()
      X = wine.data
      y = wine.target
      classes = wine.target_names
      feature_names = wine.feature_names
      X_train, X_test, y_train, y_test = train_test_split(
          X, y, test_size=0.5, random_state=0
      )
      return X_train, X_test, y_train, y_test, feature_names, classes
  
file_path: responsible-ai-toolbox/rai_test_utils/rai_test_utils/datasets/tabular/classification_data_utils.py
imports: import numpy
  import pandas
  import shap
  from pandas import read_csv
  from sklearn.datasets import load_breast_cancer, load_iris, load_wine, make_classification
  from sklearn.model_selection import train_test_split
  from rai_test_utils.utilities import retrieve_dataset
label_desc: Use image node_id 2 for calling a global function with example usage: create_wine_data() and returns: X_train,  X_test,  y_train,  y_test,  feature_names,  classes