code: def process_text(
      self,
      ann,
      data_debug_path=None,
      data_debug_counter=0,
      first_message=True,
  ):
      question = ann["question"]
      question = question + " " + random.choice(REASON_QUESTIONS)
  
      choices = ann["choices"]
      true_answer = choices[ann["correct_choice_idx"]]
      answer = (
          "The answer is "
          + true_answer
          + ". Because "
          + " ".join(ann["rationales"])
      )
  
      is_option = (
          random.random() < self.option_prob and len(choices) > 1
      )  # let's not do option for now
      # if is_option:
      #     instruction = self.prompter(question, choices)
      # else:
      instruction = self.prompter(
          question, with_image=True, first_message=first_message
      )
      save_debug_text(
          [instruction, answer],
          data_debug_path,
          data_debug_counter,
          get_rank(),
      )
      return dict(instruction=instruction, answer=answer)
  
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 2 for calling the AOKVQADataset obj's underlying member method code with example usage: obj.process_text(ann, data_debug_path, data_debug_counter, first_message) and returns: dict