class_docstr: Dataset for inference pipeline.
  
  Args:
      sents: list of strings
      example_builder: instance of BertExampleBuilder
class_docstr_tok: ["Dataset","for","inference","pipeline",".","Args",":","sents",":","list","of","strings","example_builder",":","instance","of","BertExampleBuilder"]
code: def __len__(self):
      return len(self.examples)
  
imports: import pickle
  from io import BytesIO
  from typing import Dict, List, Optional, Tuple
  import braceexpand
  import numpy
  import torch
  import webdataset
  from nemo.collections.nlp.data.spellchecking_asr_customization.bert_example import BertExampleBuilder
  from nemo.core.classes.dataset import Dataset, IterableDataset
  from nemo.core.neural_types import ChannelType, IntType, LabelsType, MaskType, NeuralType
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling the SpellcheckingAsrCustomizationTestDataset obj's underlying member method code with example usage: obj.__len__() and returns: len