saillab/alpaca_dutch_taco

---
language:
- nl
pretty_name: Dutch alpaca-52k
size_categories:
- 100K<n<1M
---
This repository contains the dataset used for the TaCo paper.

The dataset follows the style outlined in the TaCo paper, as follows:

```
{
"instruction": "instruction in xx",
"input": "input in xx",
"output": "Instruction in English: instruction in en ,
Response in English: response in en ,
Response in xx: response in xx "
}
```

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：
- 荷兰语（nl）
规范名称：荷兰语Alpaca-52K
规模类别：
- 10万<数据量<100万
---
本仓库包含用于TaCo论文的数据集。
该数据集遵循TaCo论文中规定的格式，具体如下：

{
"instruction": "xx语言的指令",
"input": "xx语言的输入",
"output": "英文指令：英文指令内容，
英文回复：英文回复内容，
xx语言回复：xx语言回复内容"
}

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，请按以下格式引用：
**引用格式**

@inproceedings{upadhayay2024taco,
title={TaCo：借助翻译辅助思维链（Chain-of-Thought）流程，提升大语言模型（Large Language Model）面向低资源语言的跨语言迁移能力},
author={Bibek Upadhayay and Vahid Behzadan},
booktitle={第五届面向受限/低资源场景的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。

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

原始信息汇总

数据集概述

数据集特征

• instruction：数据类型为字符串。
• input：数据类型为字符串。
• output：数据类型为字符串。
• id：数据类型为字符串。
• text：数据类型为字符串。

数据集划分

• 训练集：包含49601个样本，总大小为183739086.19457436字节。
• 测试集：包含12401个样本，总大小为45937549.80542563字节。

数据集大小

• 下载大小：114425126字节。
• 数据集总大小：229676636.0字节。

数据文件配置

• 默认配置：
  • 训练集路径：data/train-*
  • 测试集路径：data/test-*