class_docstr: Dataset for already preprocessed data.
class_docstr_tok: ["Dataset","for","already","preprocessed","data","."]
docstr: Denotes the total number of samples
docstr_tok: ["Denotes","the","total","number","of","samples"]
code: def __len__(self):
      "Denotes the total number of samples"
      return len(self.inputs[0])
  
imports: import array
  import os
  import pickle
  import random
  from typing import Dict, List, Optional
  import h5py
  import numpy
  from torch.utils.data import DataLoader, DistributedSampler
  from tqdm import tqdm
  from nemo.collections.nlp.data.data_utils.data_preprocessing import find_newlines, load_data_indices
  from nemo.core.classes import Dataset
label_desc: Use image node_id 2 for calling the BertPretrainingPreprocessedDataset obj's underlying member method code with example usage: obj.__len__() and returns: len