code: def __getitem__(self, index):
      ann = self.annotation[index]
  
      vname = ann["image_id"]
  
      video = self.vis_processor(self.vis_root, vname)
  
      dialogue = self.text_processor(ann)
  
      # "image_id" is kept to stay compatible with the COCO evaluation format
      return {
          "video_fts": video["video_fts"],
          "video_token_type_ids": video["token_type_ids"],
          "input_ids": dialogue["input_ids"],
          "token_type_ids": dialogue["token_type_ids"],
          "labels": dialogue["labels"],
          "image_id": ann["image_id"],
          "instance_id": ann["instance_id"],
      }
  
imports: import torch
  import os
  import copy
  import random
  from PIL import Image
  from lavis.datasets.datasets.dialogue_datasets import DialogueDataset, DialogueEvalDataset
label_desc: Use image node_id 2 for calling the AVSDDialDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict