class_docstr: Load your own video classification dataset.
code: def __len__(self):
      if self.mode != "test":
          return len(self.dataset_samples)
      else:
          return len(self.test_dataset)
  
file_path: gluon-cv/gluoncv/torch/data/video_cls/dataset_classification.py
imports: import os
  import warnings
  import numpy
  import torch
  from torch.utils.data import Dataset
  from ..transforms.videotransforms import video_transforms, volume_transforms
  from .multigrid_helper import multiGridHelper, MultiGridBatchSampler
label_desc: Use image node_id 4 for calling the VideoClsDataset obj's underlying member method code with example usage: obj.__len__() and returns: len, len