Overwrite the splits if they are different from the current ones.

    * If splits aren't already defined or different (ex: different number of
      shards), then the new split dict is used. This will trigger stats
      computation during download_and_prepare.
    * If splits are already defined in DatasetInfo and similar (same names and
      shards): keep the restored split which contains the statistics (restored
      from GCS or file)

    Args:
      split_dict: `tfds.core.SplitDict`, the new split

def update_splits_if_different(self, split_dict):
    """Overwrite the splits if they are different from the current ones.

    * If splits aren't already defined or different (ex: different number of
      shards), then the new split dict is used. This will trigger stats
      computation during download_and_prepare.
    * If splits are already defined in DatasetInfo and similar (same names and
      shards): keep the restored split which contains the statistics (restored
      from GCS or file)

    Args:
      split_dict: `tfds.core.SplitDict`, the new split
    """
    assert isinstance(split_dict, splits_lib.SplitDict)

    # If splits are already defined and identical, then we do not update
    if self._splits and splits_lib.check_splits_equals(
        self._splits, split_dict):
      return

    self._set_splits(split_dict)