code: def load_data():
      # Prepare the dataset.
      TRAIN_DATA_URL = (
          "https://storage.googleapis.com/"
          "download.tensorflow.org/data/iris_training.csv"
      )
      x_train = tf.keras.utils.get_file(
          "iris_train.csv", TRAIN_DATA_URL
      )
  
      TEST_DATA_URL = (
          "https://storage.googleapis.com/"
          "download.tensorflow.org/data/iris_test.csv"
      )
      x_test = tf.keras.utils.get_file("iris_test.csv", TEST_DATA_URL)
  
      return (x_train, "virginica"), (x_test, "virginica")
  
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 Iris obj's underlying member method code with example usage: obj.load_data() and returns: x_train,  str,  x_test,  str