code: def _get_vqa_v2_image_raw_dataset(
      directory, image_root_url, image_urls
  ):
      """Extract the VQA V2 image data set to directory unless it's there."""
      for url in image_urls:
          filename = os.path.basename(url)
          download_url = os.path.join(image_root_url, url)
          path = generator_utils.maybe_download(
              directory, filename, download_url
          )
          unzip_dir = os.path.join(directory, filename.strip(".zip"))
          if not tf.gfile.Exists(unzip_dir):
              zipfile.ZipFile(path, "r").extractall(directory)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import base64
  import csv
  import json
  import os
  import random
  import sys
  import tarfile
  import zipfile
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import image_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import vqa_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: _get_vqa_v2_image_raw_dataset(directory, image_root_url, image_urls) without return types