code: def load_data():
      DATASET_URL = (
          "https://archive.ics.uci.edu/ml/"
          "machine-learning-databases/wine/wine.data"
      )
  
      # save data
      dataset = tf.keras.utils.get_file("wine.csv", DATASET_URL)
  
      data = pd.read_csv(dataset, header=None).sample(
          frac=1, random_state=5
      )
      split_length = int(data.shape[0] * 0.8)  # 141
  
      return (
          data.iloc[:split_length, 1:],
          data.iloc[:split_length, 0],
      ), (
          data.iloc[split_length:, 1:],
          data.iloc[split_length:, 0],
      )
  
imports: import numpy
  import pandas
  import sklearn
  import tensorflow
  import autokeras
  from benchmark.experiments import experiment
label_desc: Use image node_id 2 for calling the Wine obj's underlying member method code with example usage: obj.load_data() and returns: data,  data,  data,  data