code: def _problems_to_register():
      """Problems for which we want to create datasets.
  
      To avoid a long file with class definition boilerplate for each problem, we
      are dynamically creating and registering problems. The set of problems to
      register is defined by this function. See below for the code that creates the
      classes and registers the problems.
  
      Returns:
        A dictionary mapping problem name to babi_task_id.
      """
      all_problems = {}
  
      # First define some problems using only concrete characters (i.e., no meta
      # characters).
      problems_on_different_tasks = {
          "AllTasks": "qa0",
          "Task1": "qa1",
          "Task2": "qa2",
          "Task3": "qa3",
          "Task4": "qa4",
          "Task5": "qa5",
          "Task6": "qa6",
          "Task7": "qa7",
          "Task8": "qa8",
          "Task9": "qa9",
          "Task10": "qa10",
          "Task11": "qa11",
          "Task12": "qa12",
          "Task13": "qa13",
          "Task14": "qa14",
          "Task15": "qa15",
          "Task16": "qa16",
          "Task17": "qa17",
          "Task18": "qa18",
          "Task19": "qa19",
          "Task20": "qa20",
      }
      all_problems.update(problems_on_different_tasks)
  
      return all_problems
  
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 5 for calling a global function with example usage: _problems_to_register() and returns: all_problems