class_docstr: Problem to train on full 960h, but evaluate on clean data only.
code: def generate_data(self, data_dir, tmp_dir, task_id=-1):
      raise Exception(
          "Generate librispeech and librispeech_noisy data."
      )
  
imports: import os
  import tarfile
  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
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 4 for calling the LibrispeechTrainFullTestOther obj's underlying member method code with example usage: obj.generate_data(data_dir, tmp_dir, task_id) without return types