text: #  ------------------------------------------------------------------------------------------
  #  Copyright (c) Microsoft Corporation. All rights reserved.
  #  Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
  #  ------------------------------------------------------------------------------------------
  from pathlib import Path
  
  import numpy as np
  from sklearn import datasets
  
  
  def main() -> None:
      # import some data to play with
      iris = datasets.load_iris()
      X = iris.data[:, :2]  # we only take the first two features.
      y = iris.target
      dataset = Path("dataset")
      dataset.mkdir(exist_ok=False)
      X_csv = dataset / "X.csv"
      np.savetxt(X_csv, X, delimiter=',')
      y_csv = dataset / "y.csv"
      np.savetxt(y_csv, y, delimiter=',')
  
  
  if __name__ == "__main__":
      main()
  