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 hparams(self, defaults, unused_model_hparams):
      super(BabiQaConcat, self).hparams(defaults, unused_model_hparams)
      p = defaults
  
      if "context" in p.modality:
          del p.modality["context"]
  
      if "context" in p.vocab_size:
          del p.vocab_size["context"]
  
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 2 for calling the BabiQaConcat obj's underlying member method code with example usage: obj.hparams(defaults, unused_model_hparams) without return types