class_docstr: Problem spec for English-Setswana translation.
  
  Uses the RMA Autshumato dataset.
code: def source_data_files(self, dataset_split):
      train = dataset_split == problem.DatasetSplit.TRAIN
      return _ENTN_TRAIN_DATASETS if train else _ENTN_TEST_DATASETS
  
file_path: tensor2tensor/tensor2tensor/data_generators/translate_entn.py
imports: from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import translate
  from tensor2tensor.utils import registry
label_desc: Use image node_id 3 for calling the TranslateEntnRma obj's underlying member method code with example usage: obj.source_data_files(dataset_split) and returns: unknown