Comments (1)
就我的推理来看,question对应的值是一个列表,列表内容为一个个数字,根据数字,使用vocab_data下id2word来找到对应的词,从而还原出具体的question
from insuranceqa-corpus-zh.
Related Issues (20)
- 数据集有问题 HOT 1
- pip安装insuranceqa_data报错 HOT 1
- 直接Git clone,数据集无法用tar打开 HOT 1
- TypeError: the JSON object must be str, not 'bytes' HOT 2
- visual module? HOT 1
- pypi目录中的__init__代码与实际pip install --upgrade insuranceqa_data中的代码不一样,是否未更新?
- 关于使用模型? HOT 1
- Is there any state of art methods used in the insuranceQA (v2)?
- 没有处理过的数据集怎么下载啊
- 整理好的問答對語料能否預處理過程自己翻譯為繁體
- 训练语料时,模型保存在了哪里?保存后如何使用呢?
- IOError: [Errno socket error] EOF occurred in violation of protocol (_ssl.c:726)
- 负例的选取
- 无法正常获取数据 HOT 4
- 为什么数据没有标点?
- 我想做对话机器人,请问怎么使用这份语料 HOT 2
- 回答结果如何输出 HOT 5
- 机器学习项目链接失效了,请作者更新一下 HOT 3
- 您好,请问怎么保存训练好的神经网络模型 HOT 1
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from insuranceqa-corpus-zh.