code: def __init__(
      self,
      data_path,
      data_debug_path,
      per_sample_image,
      tokenizer,
      vis_processor,
      **kwargs,
  ):
      vis_root = f"{data_path}/coco/train2017"
      assert os.path.isdir(
          vis_root
      ), f"AOKVQADataset image directory {vis_root} not found, you need to download 2017 Train images from https://cocodataset.org/#download"
      ann_paths = ["aokvqa/annotations/aokvqa_v1p0_train.json"]
      for idx in range(len(ann_paths)):
          ann_paths[idx] = f"{data_path}/{ann_paths[idx]}"
          assert os.path.isfile(
              ann_paths[idx]
          ), f"AOKVQADataset annotation file {ann_paths[idx]} not found, you need to download it from https://allenai.org/project/a-okvqa/home"
      super().__init__(
          data_path,
          data_debug_path,
          per_sample_image,
          tokenizer,
          vis_processor,
          vis_root,
          ann_paths,
          **kwargs,
      )
  
file_path: deepspeedexamples/applications/DeepSpeed-VisualChat/utils/data/aokvqa_dataset.py
imports: import os
  import random
  from PIL import Image
  from .vqa_dataset import VQADataset
  from utils.utils import get_rank
  from .utils import save_debug_image, save_debug_text
label_desc: Use image node_id 1 to create a new AOKVQADataset object from inherited base classes: VQADataset with example: obj = AOKVQADataset(data_path, data_debug_path, per_sample_image, tokenizer, vis_processor)