class_docstr: Problem to train on full set, but evaluate on clean data only.
class_docstr_tok: ["Problem","to","train","on","full","set",",","but","evaluate","on","clean","data","only","."]
code: def test_filepaths(self, data_dir, num_shards, shuffled):
      return CommonVoiceClean.test_filepaths(
          self, data_dir, num_shards, shuffled
      )
  
imports: import csv
  import os
  import tarfile
  from tensorflow.compat.v1 import estimator
  import tqdm
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import speech_recognition
  from tensor2tensor.utils import registry
label_desc: Use image node_id 3 for calling the CommonVoiceTrainFullTestClean obj's underlying member method code with example usage: obj.test_filepaths(data_dir, num_shards, shuffled) and returns: CommonVoiceClean