class_docstr: Google's Speech Commands dataset for keyword spotting (https://arxiv.org/abs/1804.03209).
  
  This contains the "v2" version for 12-way classification (10 commands,
  plus unknown and background categories).
  
  Args:
      opts: Command-line arguments
code: def __len__(self) -> int:
      return len(self.dataset_entries)
  
imports: import argparse
  import json
  import os
  import random
  from typing import Dict, Tuple, Union
  import torch
  import torchaudio
  from torch import Tensor
  from torch.nn import functional
  from data.datasets import DATASET_REGISTRY, dataset_base
  from data.transforms.audio import Noise, Roll, SetFixedLength
  from data.transforms.common import Compose
  from data.transforms.image_pil import BaseTransformation
label_desc: Use image node_id 9 for calling the SpeechCommandsv2Dataset obj's underlying member method code with example usage: obj.__len__() and returns: len