code: def _path(opt):
      build(opt)
  
      questions_path = os.path.join(
          opt["datapath"],
          "FVQA",
          "new_dataset_release",
          "all_qs_dict_release.json",
      )
      trainset_path = os.path.join(
          opt["datapath"], "FVQA", "Name_Lists"
      )
      image_path = os.path.join(
          opt["datapath"], "FVQA", "new_dataset_release", "images", ""
      )
  
      return questions_path, trainset_path, image_path
  
imports: from parlai.core.image_featurizers import ImageLoader
  from parlai.core.metrics import TeacherMetrics
  from parlai.core.teachers import Teacher
  from parlai.utils.io import PathManager
  from .build import build
  import json
  import random
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: _path(opt) and returns: questions_path,  trainset_path,  image_path