class_docstr: The virtual base class for nlp datasets, such TextClassificationDataset, SeqLabelingDataset, and so on.
  The base class must be supered and re-implemented the method _read_file.
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docstr: Reads the files.
  Args:
      input_file (:obj:str) : The file to be read.
      is_file_with_header(:obj:bool, `optional`, default to :obj: False) :
          Whether or not the file is with the header introduction.
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code: def _read_file(
      self, input_file: str, is_file_with_header: bool = False
  ):
      """
      Reads the files.
      Args:
          input_file (:obj:str) : The file to be read.
          is_file_with_header(:obj:bool, `optional`, default to :obj: False) :
              Whether or not the file is with the header introduction.
      """
      raise NotImplementedError
  
imports: import csv
  import io
  import os
  from typing import Dict, List, Optional, Union, Tuple
  import numpy
  import paddle
  import paddlenlp
  from packaging.version import Version
  from paddlehub.env import DATA_HOME
  from paddlenlp.transformers import PretrainedTokenizer
  from paddlenlp.data import JiebaTokenizer
  from paddlehub.utils.log import logger
  from paddlehub.utils.utils import download, reseg_token_label, pad_sequence, trunc_sequence
  from paddlehub.utils.xarfile import is_xarfile, unarchive
label_desc: Use image node_id 4 for calling the BaseNLPDataset obj's underlying member method code with example usage: obj._read_file(input_file, is_file_with_header) without return types