code: def process_text(
      self,
      anns,
      data_debug_path=None,
      data_debug_counter=0,
      first_message=False,
  ):
      num_convs = len(anns["conversations"]) // 2
      conv_list = []
      for conv_id in range(num_convs):
          question = anns["conversations"][int(2 * conv_id)]["value"]
          # remove '<image>' tag and '\n'
          with_image = "<image>" in question
          question = question.replace("<image>", "").replace("\n", "")
          answer = anns["conversations"][int(2 * conv_id + 1)]["value"]
          instruction = self.prompter(
              question,
              with_image=with_image,
              first_message=(conv_id == 0 and first_message),
          )
          single_conv = dict(instruction=instruction, answer=answer)
          conv_list.append(single_conv)
      save_debug_text(
          conv_list, data_debug_path, data_debug_counter, get_rank()
      )
      return conv_list
  
file_path: deepspeedexamples/applications/DeepSpeed-VisualChat/utils/data/dial_dataset.py
imports: import os
  from .vqa_dataset import VQADataset
  import utils.data.DST
  from utils.utils import get_rank
  from .utils import save_debug_text
label_desc: Use image node_id 3 for calling the DialDataset obj's underlying member method code with example usage: obj.process_text(anns, data_debug_path, data_debug_counter, first_message) and returns: conv_list