class_docstr: Summarize CNN and Daily Mail articles to their summary highlights.
class_docstr_tok: ["Summarize","CNN","and","Daily","Mail","articles","to","their","summary","highlights","."]
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": 100,
          },
          {
              "split": problem.DatasetSplit.EVAL,
              "shards": 10,
          },
          {
              "split": problem.DatasetSplit.TEST,
              "shards": 10,
          },
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import hashlib
  import io
  import os
  import random
  import tarfile
  from tensor2tensor.data_generators import generator_utils
  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 wiki_lm
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the SummarizeCnnDailymail32k obj's underlying member method code with example usage: obj.dataset_splits() and returns: list