class_docstr: Babi with question and story concatenated together as inputs.
class_docstr_tok: ["Babi","with","question","and","story","concatenated","together","as","inputs","."]
code: def preprocess_example(
      self, example, unused_mode, unused_model_hparams
  ):
      sep = tf.convert_to_tensor(
          [self.QUESTION_SEPARATOR_ID], dtype=example["inputs"].dtype
      )
      example["inputs"] = tf.concat(
          [example["inputs"], sep, example["context"]], 0
      )
      return example
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import shutil
  import tarfile
  import requests
  import six
  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 tokenizer
  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 1 for calling the BabiQaConcat obj's underlying member method code with example usage: obj.preprocess_example(example, unused_mode, unused_model_hparams) and returns: example