class_docstr: Problem spec for English-Czech CUBBITT (CUni Block-Backtranslation-Improved Transformer Translation).
class_docstr_tok: ["Problem","spec","for","English-Czech","CUBBITT","(","CUni","Block-Backtranslation-Improved","Transformer","Translation",")","."]
docstr: Splits of data to produce and number of output shards for each.
docstr_tok: ["Splits","of","data","to","produce","and","number","of","output","shards","for","each","."]
code: def dataset_splits(self):
      """Splits of data to produce and number of output shards for each."""
      return [
          {
              "split": problem.DatasetSplit.TRAIN,
              "shards": 1,  # Use just 1 shard so as to not mix data.
          },
          {
              "split": problem.DatasetSplit.EVAL,
              "shards": 1,
          },
      ]
  
file_path: tensor2tensor/tensor2tensor/data_generators/translate_encs_cubbitt.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.data_generators import translate
  from tensor2tensor.data_generators import translate_encs
  from tensor2tensor.utils import registry
label_desc: Use image node_id 5 for calling the TranslateEncsCubbitt obj's underlying member method code with example usage: obj.dataset_splits() and returns: list