saillab/alpaca-chinesesimplified-cleaned

---
language:
- zh
pretty_name: ChineseSimplified alpaca-52k
size_categories:
- 100K<n<1M
---

This repository contains the dataset used for the TaCo paper.

Please refer to the paper for more details: [OpenReview](https://openreview.net/forum?id=02MLWBj8HP)

If you have used our dataset, please cite it as follows:

**Citation**
```
@inproceedings{upadhayay2024taco,
title={TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in {LLM}s through Translation-Assisted Chain-of-Thought Processes},
author={Bibek Upadhayay and Vahid Behzadan},
booktitle={5th Workshop on practical ML for limited/low resource settings, ICLR},
year={2024},
url={https://openreview.net/forum?id=02MLWBj8HP}
}
```

The original dataset [(Alpaca-52K)](https://github.com/tatsu-lab/stanford_alpaca?tab=readme-ov-file#data-release) was translated using Google Translate.

**Copyright and Intended Use**
This dataset has been released under CC BY-NC, intended for academic and research purposes only. Please review the licenses and terms and conditions of Alpaca-52K, Dolly-15K, and Google Cloud Translation before using this dataset for any purpose other than research.

---
语言：
- 中文
展示名称：简体中文Alpaca-52K
规模类别：
- 10万 < 样本量 < 100万
---

本仓库包含TaCo论文所使用的数据集。

如需了解更多细节，请参阅该论文：[OpenReview](https://openreview.net/forum?id=02MLWBj8HP)

若您使用了本数据集，请按如下格式引用：
**引用格式**

@inproceedings{upadhayay2024taco,
title={TaCo：通过翻译辅助思维链流程增强大语言模型（LLM）面向低资源语言的跨语言迁移能力},
author={Bibek Upadhayay and Vahid Behzadan},
booktitle={第五届有限/低资源场景下实用机器学习研讨会，国际学习表征会议（ICLR）},
year={2024},
url={https://openreview.net/forum?id=02MLWBj8HP}
}

本数据集的原始版本[(Alpaca-52K)](https://github.com/tatsu-lab/stanford_alpaca?tab=readme-ov-file#data-release)通过谷歌翻译（Google Translate）完成翻译。

**版权与使用意图**
本数据集采用CC BY-NC协议发布，仅可用于学术与研究用途。若您需将本数据集用于研究以外的其他用途，请先查阅Alpaca-52K、Dolly-15K以及谷歌云翻译（Google Cloud Translation）的许可协议与条款细则。