code: def __getitem__(self, index):
      ann = copy.deepcopy(self.annotation[index])
      for modality in self.modalities:
          ann[f"{modality}_path"] = getattr(
              self, f"get_{modality}_path"
          )(ann)
          if type(ann[f"{modality}_path"]) == list:
              ann[f"{modality}_path"] = random.choice(
                  ann[f"{modality}_path"]
              )
          if "video" in modality:
              try:
                  ann["video"] = getattr(self, f"video_processor")(
                      ann[f"video_path"],
                      start_sec=ann["start_sec"],
                      end_sec=ann["end_sec"],
                  ).to(torch.float32)
              except:
                  return None
          elif "image" in modality:
              ann["image"] = self.vis_processor(
                  Image.open(ann[f"images_path"])
              )
          else:
              ann[modality] = getattr(self, f"{modality}_processor")(
                  ann[f"{modality}_path"]
              ).to(torch.float32)
      ann["sample_id"] = ann["youtube_id"]
      ann["text_output"] = self.text_processor(ann["response"])
      ann["text_input"] = self.text_processor(ann["context"])
      ann["question_id"] = index
      ann["captions"] = ann["response"]
      return ann
  
file_path: lavis/lavis/datasets/datasets/yt8m_video_dialogue_datasets.py
imports: import torch
  import os
  import copy
  import random
  from PIL import Image
  from lavis.datasets.datasets.base_dataset import BaseDataset
label_desc: Use image node_id 6 for calling the YT8MDialDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: ann, None