code: def _generate_examples(self, filepath):
      
      with tf.io.gfile.GFile(filepath, "rb") as f:
        data = tfds.core.lazy_imports.scipy.io.loadmat(f)
  
      # Maybe should shuffle ?
  
      assert np.max(data["y"]) <= 10  # Sanity check
      assert np.min(data["y"]) > 0
  
      for image, label in zip(np.rollaxis(data["X"], -1), data["y"]):
        yield {
            "image": image,
            "label": label % 10,  # digit 0 is saved as 0 (instead of 10)
        }
docs: Generate examples as dicts.
  
      Args:
        filepath: `str` path of the file to process.
  
      Yields:
        Generator yielding the next samples