jinaai/mintakaqa
收藏Hugging Face2024-01-22 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/jinaai/mintakaqa
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资源简介：
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
https://github.com/amazon-science/mintaka
We only took entity-type answers and avoided answers that were only numbers or booleans
```
@inproceedings{sen-etal-2022-mintaka,
title = "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering",
author = "Sen, Priyanka and
Aji, Alham Fikri and
Saffari, Amir",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.138",
pages = "1604--1619"
}
```
提供机构：
jinaai
原始信息汇总
Mintaka 数据集概述
数据集名称
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
数据集描述
Mintaka 是一个复杂、自然且多语言的端到端问答数据集。该数据集仅包含实体类型的答案，并避免了仅由数字或布尔值组成的答案。
作者信息
- Sen, Priyanka
- Aji, Alham Fikri
- Saffari, Amir
发表会议
Proceedings of the 29th International Conference on Computational Linguistics
发表时间
2022年10月
会议地点
Gyeongju, Republic of Korea
出版机构
International Committee on Computational Linguistics
