code: def __init__(self, opt: Opt, shared=None):
      self.fold = opt["datatype"].split(":")[0]
      self.dpath = os.path.join(opt["datapath"], "NaturalQuestionsOpen")
      self.opt = opt
      self.opt["datafile"] = os.path.join(
          self.dpath, self.fold + ".csv"
      )
      if shared is None:
          build_(opt)
      super().__init__(opt, shared)
  
imports: import copy
  import os
  import json
  import jsonlines
  from typing import List, Optional, Tuple
  from parlai.core.teachers import ChunkTeacher, DialogTeacher
  from .build import build, DATASET_NAME_LOCAL, build_sample
  from .build_open import build
  from .utils.text_utils import simplify_nq_example
  from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.core.metrics import ExactMatchMetric, normalize_answer, AverageMetric
  from parlai.core.params import ParlaiParser
  from parlai.utils.data import DatatypeHelper
  from parlai.utils.io import PathManager
  import parlai.utils.logging
label_desc: Use image node_id 1 to create a new NaturalQuestionsOpenTeacher object from inherited base classes: DialogTeacher with example: obj = NaturalQuestionsOpenTeacher(opt, shared)