class_docstr: Dataset as used by the ThutmoseTaggerModel for training, validation, and inference
  pipelines.
  
  Args:
      input_file (str): path to tsv-file with data
      example_builder: instance of BertExampleBuilder
class_docstr_tok: ["Dataset","as","used","by","the","ThutmoseTaggerModel","for","training",",","validation",",","and","inference","pipelines",".","Args",":","input_file","(","str",")",":","path","to","tsv-file","with","data","example_builder",":","instance","of","BertExampleBuilder"]
code: def __len__(self):
      return len(self.examples)
  
file_path: NeMo/nemo/collections/nlp/data/text_normalization_as_tagging/thutmose_tagger_dataset.py
imports: from typing import Dict, List, Optional
  import numpy
  from nemo.collections.nlp.data.text_normalization_as_tagging.bert_example import BertExampleBuilder, read_input_file
  from nemo.core.classes.dataset import Dataset
  from nemo.core.neural_types import ChannelType, IntType, LabelsType, MaskType, NeuralType
label_desc: Use image node_id 3 for calling the ThutmoseTaggerDataset obj's underlying member method code with example usage: obj.__len__() and returns: len