class_docstr: **BQ Corpus** 数据集的 **Loader** 。句子对二分类任务，判断是否具有相同的语义。原始数据结构为::
  
      sentence1,sentence2,label
      综合评分不足什么原因,综合评估的依据,0
      什么时候我能使用微粒贷,您就赶快给我开通就行了,0
  
  读取的 :class:`~fastNLP.core.DataSet` 将具备以下的数据结构：
  
  .. csv-table::
     :header: "raw_chars1", "raw_chars2", "target"
     
     "综合评分不足什么原因", "综合评估的依据", "0"
     "什么时候我能使用微粒贷", "您就赶快给我开通就行了", "0"
     "...", "...", "..."
code: def __init__(self):
      super(BQCorpusLoader, self).__init__()
  
imports: import os
  from typing import Union, Dict
  from .csv import CSVLoader
  from .json import JsonLoader
  from .loader import Loader
  from fastNLP.io.data_bundle import DataBundle
  from ..utils import check_loader_paths
  from fastNLP.core.dataset import DataSet, Instance
  from fastNLP.core.log import logger
label_desc: Use image node_id 1 to create a new BQCorpusLoader object from inherited base classes: Loader with example: obj = BQCorpusLoader()