metaicl-data
收藏魔搭社区2025-11-27 更新2025-06-07 收录
下载链接:
https://modelscope.cn/datasets/allenai/metaicl-data
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资源简介:
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 }
}
```
本数据集源自Meta公司的[MetaICL](https://github.com/facebookresearch/MetaICL)项目的下载并预处理后的数据。
我们严格遵循其["How to Download and Preprocess"](https://github.com/facebookresearch/MetaICL#how-to-download-and-preprocess)操作指南,获取了其针对[CrossFit](https://github.com/INK-USC/CrossFit)与[UnifiedQA](https://arxiv.org/abs/2005.00700)的修改版本。
## 引用信息
@inproceedings{ min2022metaicl,
title={ Meta{ICL}:学会在上下文中学习 },
author={ 闵锡元(Sewon Min)、迈克·刘易斯(Mike Lewis)、卢克·泽特勒莫耶尔(Luke Zettlemoyer)、汉内什·哈吉什尔齐(Hannaneh Hajishirzi) },
booktitle={ 北美计算语言学协会人类语言技术会议(NAACL-HLT) },
year={ 2022 }
}
@inproceedings{ ye2021crossfit,
title={ {C}ross{F}it:自然语言处理跨任务泛化的少样本学习挑战 },
author={ 叶秦源(Qinyuan Ye)、林于晨(Bill Yuchen Lin)、任向(Xiang Ren) },
booktitle={ 自然语言处理经验方法会议(EMNLP) },
year={ 2021 }
}
@inproceedings{ khashabi2020unifiedqa,
title={ {U}nified{QA}:依托单一问答系统跨越格式边界 },
author={ 丹尼尔·哈沙比(Daniel Khashabi)、闵锡元(Sewon Min)、塔沙尔·科特(Tushar Khot)、阿希什·萨伯瓦尔(Ashish Sabharwal)、奥伊文德·塔菲约德(Oyvind Tafjord)、彼得·克拉克(Peter Clark)、汉内什·哈吉什尔齐(Hannaneh Hajishirzi) },
booktitle={ EMNLP研究成果(Findings of EMNLP) },
year={ 2020 }
}
提供机构:
maas
创建时间:
2025-05-29



