code: def splits(cls, text_field, label_field, root='.data',
                 train='train', test='test', **kwargs):
          
          return super(IMDB, cls).splits(
              root=root, text_field=text_field, label_field=label_field,
              train=train, validation=None, test=test, **kwargs)
docs: Create dataset objects for splits of the IMDB dataset.
  
          Arguments:
              text_field: The field that will be used for the sentence.
              label_field: The field that will be used for label data.
              root: Root dataset storage directory. Default is '.data'.
              train: The directory that contains the training examples
              test: The directory that contains the test examples
              Remaining keyword arguments: Passed to the splits method of
                  Dataset.