code: def __getitem__(self, index):
      data = super().__getitem__(index)
      if data != None:
          data["prompt"] = self.text_processor(
              "based on the given the image is {} true?"
          )
          data["answer"] = self.classnames[data["label"]]
          data["label"] = self.classnames[data["label"]]
          data["question_id"] = data["instance_id"]
      return data
  
file_path: lavis/lavis/datasets/datasets/snli_ve_datasets.py
imports: import os
  from collections import OrderedDict
  from lavis.datasets.datasets.multimodal_classification_datasets import MultimodalClassificationDataset
  from PIL import Image
label_desc: Use image node_id 2 for calling the SNLIVisualEntialmentInstructDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: data