code: def __init__(
      self, vis_processor, text_processor, vis_root, ann_paths
  ):
      super().__init__(
          vis_processor, text_processor, vis_root, ann_paths
      )
      count_id = 0
      annotations = []
      for ann in self.annotation:
          for q, a in zip(ann["questions"], ann["answers"]):
              new_ann = {}
              new_ann = copy.deepcopy(ann)
              new_ann["questions"] = q
              new_ann["answers"] = a
              new_ann["instance_id"] = count_id
              new_ann["sample_id"] = ann["sample_id"]
              image_id = ann["sample_id"] + ".jpg"
              image_path = os.path.join(self.vis_root, image_id)
              if not os.path.exists(image_path):
                  continue
              count_id += 1
              annotations.append(new_ann)
      self.annotation = annotations
  
file_path: lavis/lavis/datasets/datasets/ocr_datasets.py
imports: import os
  import random
  import copy
  from PIL import Image
  from lavis.datasets.datasets.vqa_datasets import VQADataset
label_desc: Use image node_id 1 to create a new OCRVQADataset object from inherited base classes: VQADataset with example: obj = OCRVQADataset(vis_processor, text_processor, vis_root, ann_paths)