class_docstr: The dataset class which is fit for all datatset of text classification.
class_docstr_tok: ["The","dataset","class","which","is","fit","for","all","datatset","of","text","classification","."]
code: def __len__(self):
      return len(self.records)
  
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 5 for calling the TextClassificationDataset obj's underlying member method code with example usage: obj.__len__() and returns: len