class_docstr: LSMDC dataset.
class_docstr_tok: ["LSMDC","dataset","."]
code: def __getitem__(self, tidx):
      idx, idx2 = tidx
  
      face_ind = 1
  
      flow = self.flow_features[idx]
      face = self.face_features[idx]
      audio = self.audio_features[idx]
      audio_size = self.audio_sizes[idx]
  
      if th.sum(face) == 0:
          face_ind = 0
  
      return {
          "video": self.visual_features[idx],
          "flow": flow,
          "face": face,
          "text": self.text_features[idx2],
          "audio": audio,
          "face_ind": face_ind,
          "audio_size": audio_size,
          "text_size": self.text_sizes[idx2],
      }
  
imports: import torch
  from torch.utils.data import Dataset
  import numpy
  import os
  import math
  import random
label_desc: Use image node_id 3 for calling the LSMDC_qcm obj's underlying member method code with example usage: obj.__getitem__(tidx) and returns: dict