code: def _path(opt):
      build(opt)
      buildImage_2014(opt)
      buildImage_2015(opt)
      dt = opt["datatype"].split(":")[0]
  
      img_version = None
      if dt == "train":
          ques_suffix = "v2_OpenEnded_mscoco_train2014"
          annotation_suffix = "v2_mscoco_train2014"
          img_suffix = os.path.join("train2014", "COCO_train2014_")
          img_version = "2014"
      elif dt == "valid":
          ques_suffix = "v2_OpenEnded_mscoco_val2014"
          annotation_suffix = "v2_mscoco_val2014"
          img_suffix = os.path.join("val2014", "COCO_val2014_")
          img_version = "2014"
      elif dt == "test":
          ques_suffix = "v2_OpenEnded_mscoco_test2015"
          annotation_suffix = "None"
          img_suffix = os.path.join("test2015", "COCO_test2015_")
          img_version = "2015"
      else:
          raise RuntimeError("Not valid datatype.")
  
      data_path = os.path.join(
          opt["datapath"], "VQA-v2", ques_suffix + "_questions.json"
      )
  
      annotation_path = os.path.join(
          opt["datapath"],
          "VQA-v2",
          annotation_suffix + "_annotations.json",
      )
  
      image_path = os.path.join(
          opt["datapath"], "COCO-IMG-{}".format(img_version), img_suffix
      )
  
      return data_path, annotation_path, image_path
  
imports: from parlai.utils.io import PathManager
  from parlai.core.teachers import FixedDialogTeacher
  from parlai.core.image_featurizers import ImageLoader
  from .build import build
  from parlai.tasks.coco_caption.build_2014 import buildImage
  from parlai.tasks.coco_caption.build_2015 import buildImage
  import json
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: _path(opt) and returns: data_path,  annotation_path,  image_path