InsuranceQA

displayName: InsuranceQA
license:
- InsuranceQA custom
mediaTypes:
- Text
paperUrl: https://arxiv.org/pdf/1508.01585v2.pdf
publishDate: "2015"
publishUrl: https://github.com/shuzi/insuranceQA
publisher:
- IBM Watson
tags:
- Insurance
taskTypes:
- Visual Question Answering
- Information Retrieval
- Answer Selection

---
# 数据集介绍
## 简介
InsuranceQA 是保险领域的问答数据集，数据来自网站 Insurance Library。训练集中有 12,889 个问题和 21,325 个答案。验证集中有 2,000 个问题和 3,354 个答案。测试集中有 2,000 个问题和 3,308 个答案。
## 引文
```
@inproceedings{feng2015applying,
title={Applying deep learning to answer selection: A study and an open task},
author={Feng, Minwei and Xiang, Bing and Glass, Michael R and Wang, Lidan and Zhou, Bowen},
booktitle={2015 IEEE workshop on automatic speech recognition and understanding (ASRU)},
pages={813--820},
year={2015},
organization={IEEE}
}
```

## Download dataset
:modelscope-code[]{type="git"}

显示名称：InsuranceQA
许可证：
- InsuranceQA 自定义许可证
媒体类型：
- 文本
论文链接：https://arxiv.org/pdf/1508.01585v2.pdf
发布日期：2015年
发布仓库链接：https://github.com/shuzi/insuranceQA
发布方：
- IBM Watson
标签：
- 保险
任务类型：
- 视觉问答（Visual Question Answering）
- 信息检索（Information Retrieval）
- 答案选择（Answer Selection）

---

# 数据集介绍
## 简介
InsuranceQA 是聚焦保险领域的问答数据集，其数据源自Insurance Library网站。训练集涵盖12,889个问题与21,325条答案；验证集涵盖2,000个问题与3,354条答案；测试集涵盖2,000个问题与3,308条答案。
## 引文

@inproceedings{feng2015applying,
title={Applying deep learning to answer selection: A study and an open task},
author={Feng, Minwei and Xiang, Bing and Glass, Michael R and Wang, Lidan and Zhou, Bowen},
booktitle={2015 IEEE workshop on automatic speech recognition and understanding (ASRU)},
pages={813--820},
year={2015},
organization={IEEE}
}

## 数据集下载
:modelscope-code[]{type="git"}