code: def __getitem__(self, index):
      ann = self.annotation[index]
  
      image0_path = os.path.join(self.vis_root, ann["images"][0])
      image0 = Image.open(image0_path).convert("RGB")
      image0 = self.vis_processor(image0)
  
      image1_path = os.path.join(self.vis_root, ann["images"][1])
      image1 = Image.open(image1_path).convert("RGB")
      image1 = self.vis_processor(image1)
  
      sentence = self.text_processor(ann["sentence"])
      label = self.class_labels[ann["label"]]
  
      return self._flip(
          {
              "image0": image0,
              "image1": image1,
              "text_input": sentence,
              "label": label,
              # "image_id": ann["image_id"],
              "instance_id": ann["instance_id"],
          }
      )
  
file_path: lavis/lavis/datasets/datasets/nlvr_datasets.py
imports: import os
  import random
  from collections import OrderedDict
  from lavis.datasets.datasets.multimodal_classification_datasets import MultimodalClassificationDataset
  from PIL import Image
label_desc: Use image node_id 4 for calling the NLVRDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: self