friendshipkim/metaicl
收藏Hugging Face2024-04-17 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/friendshipkim/metaicl
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资源简介:
---
license: cc-by-nc-4.0
---
This is the downloaded and processed data from Meta's [MetaICL](https://github.com/facebookresearch/MetaICL).
We follow their ["How to Download and Preprocess"](https://github.com/facebookresearch/MetaICL#how-to-download-and-preprocess) instructions to obtain their modified versions of [CrossFit](https://github.com/INK-USC/CrossFit) and [UnifiedQA](https://arxiv.org/abs/2005.00700).
## Citation information
```
@inproceedings{ min2022metaicl,
title={ Meta{ICL}: Learning to Learn In Context },
author={ Min, Sewon and Lewis, Mike and Zettlemoyer, Luke and Hajishirzi, Hannaneh },
booktitle={ NAACL-HLT },
year={ 2022 }
}
@inproceedings{ ye2021crossfit,
title={ {C}ross{F}it: A Few-shot Learning Challenge for Cross-task Generalization in NLP },
author={ Ye, Qinyuan and Lin, Bill Yuchen and Ren, Xiang },
booktitle={ EMNLP },
year={ 2021 }
}
@inproceedings{ khashabi2020unifiedqa,
title={ {U}nified{QA}: Crossing Format Boundaries With a Single QA System },
author={ Khashabi, Daniel and Min, Sewon and Khot, Tushar and Sabharwal, Ashish and Tafjord, Oyvind and Clark, Peter and Hajishirzi, Hannaneh },
booktitle={ Findings of EMNLP },
year={ 2020 }
}
```
提供机构:
friendshipkim
原始信息汇总
数据集概述
数据来源
- 数据集是从Meta的MetaICL下载并处理得到的。
数据处理
- 遵循MetaICL的"How to Download and Preprocess"指南,获取了修改版的CrossFit和UnifiedQA。
许可证
- 数据集遵循cc-by-nc-4.0许可证。
引用信息
-
MetaICL
- 标题: MetaICL: Learning to Learn In Context
- 作者: Min, Sewon and Lewis, Mike and Zettlemoyer, Luke and Hajishirzi, Hannaneh
- 会议: NAACL-HLT
- 年份: 2022
-
CrossFit
- 标题: CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
- 作者: Ye, Qinyuan and Lin, Bill Yuchen and Ren, Xiang
- 会议: EMNLP
- 年份: 2021
-
UnifiedQA
- 标题: UnifiedQA: Crossing Format Boundaries With a Single QA System
- 作者: Khashabi, Daniel and Min, Sewon and Khot, Tushar and Sabharwal, Ashish and Tafjord, Oyvind and Clark, Peter and Hajishirzi, Hannaneh
- 会议: Findings of EMNLP
- 年份: 2020



