saillab/alpaca_russian_taco

---
language:
- ru
pretty_name: Russian 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：
- 俄语
数据集展示名：俄语Alpaca-52K
数据规模类别：
- 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：xx英文指令，
英文回复：xx英文回复，
xx语言回复：xx语言回复"
}

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**

@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）在低资源语言上的跨语言迁移能力},
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}
}

原始数据集[(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。

**版权与使用说明**
本数据集采用CC BY-NC协议发布，仅用于学术与研究用途。在将本数据集用于研究以外的任何用途之前，请务必查阅Alpaca-52K、Dolly-15K以及谷歌云翻译（Google Cloud Translation）的许可协议与条款细则。

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

数据集分割

• 训练集 (train):
  • 示例数量: 49601
  • 数据大小: 234748575.5567401字节
• 测试集 (test):
  • 示例数量: 12401
  • 数据大小: 58690693.443259895字节

数据集大小

• 下载大小: 141342837字节
• 数据集总大小: 293439269.0字节

数据文件配置

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