Generate examples as dicts.

    Args:
      filepath: `str` path of the file to process.

    Yields:
      Generator yielding the next samples

def _generate_examples(self, filepath):
    """Generate examples as dicts.

    Args:
      filepath: `str` path of the file to process.

    Yields:
      Generator yielding the next samples
    """
    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)
      }