class_docstr: Base class for Wikisum problems.
class_docstr_tok: ["Base","class","for","Wikisum","problems","."]
code: def out_filepaths(self, data_dir):
      train_shards = 800
      dev_shards = 100
      test_shards = 100
      train_filepaths = self.training_filepaths(
          data_dir, train_shards, shuffled=True
      )
      dev_filepaths = self.dev_filepaths(
          data_dir, dev_shards, shuffled=True
      )
      test_filepaths = self.test_filepaths(
          data_dir, test_shards, shuffled=True
      )
      out_filepaths = train_filepaths + dev_filepaths + test_filepaths
      out_filepaths.sort()
      assert len(out_filepaths) == cc_utils.NUM_SHARDS
      return out_filepaths
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import json
  import math
  import os
  import re
  import string
  import tempfile
  import six
  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 tokenizer
  from tensor2tensor.data_generators.wikisum import utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 10 for calling the WikisumBase obj's underlying member method code with example usage: obj.out_filepaths(data_dir) and returns: out_filepaths