class_docstr: En-es translation trained on WMT corpus.
class_docstr_tok: ["En-es","translation","trained","on","WMT","corpus","."]
code: def source_data_files(self, dataset_split):
      train = dataset_split == problem.DatasetSplit.TRAIN
      train_datasets = (
          _ENES_TRAIN_DATASETS + self.additional_training_datasets
      )
      return train_datasets if train else _ENES_TEST_DATASETS
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.data_generators import translate
  from tensor2tensor.utils import registry
label_desc: Use image node_id 2 for calling the TranslateEnesWmt32k obj's underlying member method code with example usage: obj.source_data_files(dataset_split) and returns: unknown