code: def splits(cls, exts, fields, root='.data',
                 train='train', validation='IWSLT16.TED.tst2013',
                 test='IWSLT16.TED.tst2014', **kwargs):
          
          cls.dirname = cls.base_dirname.format(exts[0][1:], exts[1][1:])
          cls.urls = [cls.base_url.format(exts[0][1:], exts[1][1:], cls.dirname)]
          check = os.path.join(root, cls.name, cls.dirname)
          path = cls.download(root, check=check)
  
          train = '.'.join([train, cls.dirname])
          validation = '.'.join([validation, cls.dirname])
          if test is not None:
              test = '.'.join([test, cls.dirname])
  
          if not os.path.exists(os.path.join(path, train) + exts[0]):
              cls.clean(path)
  
          train_data = None if train is None else cls(
              os.path.join(path, train), exts, fields, **kwargs)
          val_data = None if validation is None else cls(
              os.path.join(path, validation), exts, fields, **kwargs)
          test_data = None if test is None else cls(
              os.path.join(path, test), exts, fields, **kwargs)
          return tuple(d for d in (train_data, val_data, test_data)
                       if d is not None)
docs: Create dataset objects for splits of the IWSLT dataset.
  
          Arguments:
              exts: A tuple containing the extension to path for each language.
              fields: A tuple containing the fields that will be used for data
                  in each language.
              root: Root dataset storage directory. Default is '.data'.
              train: The prefix of the train data. Default: 'train'.
              validation: The prefix of the validation data. Default: 'val'.
              test: The prefix of the test data. Default: 'test'.
              Remaining keyword arguments: Passed to the splits method of
                  Dataset.