code: def _create_task_data_dict(self, task):
      task_data_dict = {}
      type_inferred_objects = {"images": {}, "tables": {}}
      for data in task:
          try:
              data_object = data.data
              task_data_dict[data.id] = self._convert_to_native_type(
                  data_object
              )
              task_data_dict[data.id]["name"] = data.id
          except ModuleNotFoundError as e:
              data_object = "<unable to unpickle>"
              # this means pickle couldn't find the module.
              task_data_dict[data.id] = dict(
                  type=e.name,
                  data=data_object,
                  large_object=False,
                  supported_type=False,
                  only_repr=self._only_repr,
                  name=data.id,
              )
  
          # Resolve special types.
          type_resolved_obj = self._extract_type_infered_object(
              data_object
          )
          if type_resolved_obj is not None:
              if type_resolved_obj.is_image:
                  type_inferred_objects["images"][
                      data.id
                  ] = type_resolved_obj.data
              elif type_resolved_obj.is_table:
                  type_inferred_objects["tables"][
                      data.id
                  ] = type_resolved_obj.data
  
      return task_data_dict, type_inferred_objects
  
imports: import json
  import sys
  import base64
  import datetime
  from collections import namedtuple
label_desc: Use image node_id 3 for calling the TaskToDict obj's underlying member method code with example usage: obj._create_task_data_dict(task) and returns: task_data_dict,  type_inferred_objects