class_docstr: **LCQMC** 数据集的 **Loader**，该数据集用于句对匹配（question matching）。原始数据为::
  
      喜欢打篮球的男生喜欢什么样的女生        爱打篮球的男生喜欢什么样的女生 1
      您帮我设计小说的封面吧     谁能帮我给小说设计个封面？   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"
     
     "喜欢打篮球的男生喜欢什么样的女生", "爱打篮球的男生喜欢什么样的女生", "1"
     "您帮我设计小说的封面吧", "妇可以戴耳机听音乐吗?", "0"
     "...", "...", "..."
docstr: 由于版权限制，不能提供自动下载功能。可参考
  
  https://github.com/ymcui/Chinese-BERT-wwm
docstr_tok: ["\u7531\u4e8e\u7248\u6743\u9650\u5236\uff0c\u4e0d\u80fd\u63d0\u4f9b\u81ea\u52a8\u4e0b\u8f7d\u529f\u80fd\u3002\u53ef\u53c2\u8003","https",":","\/\/github.com\/ymcui\/Chinese-BERT-wwm"]
code: def download(self):
      r"""
      由于版权限制，不能提供自动下载功能。可参考
  
      https://github.com/ymcui/Chinese-BERT-wwm
      """
      raise RuntimeError("LCQMC cannot be downloaded automatically.")
  
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 3 for calling the LCQMCLoader obj's underlying member method code with example usage: obj.download() without return types