saillab/alpaca_persian_taco

---
language:
- fa
pretty_name: Persian 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.

The dataset includes five string-type features: instruction, input, output, id, and text. It is divided into a training set and a test set, with 49601 samples in the training set and 12401 samples in the test set. The total download size of the dataset is 128290918 bytes, and the total size is 269859929.0 bytes. The dataset configuration is set to default, with the training set and test set data files stored in data/train-* and data/test-* paths respectively.

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: 215885331.73654076字节
• 测试集 (test):
  • 示例数量: 12401
  • 数据大小: 53974597.26345924字节

数据集大小

• 下载大小: 128290918字节
• 数据集总大小: 269859929.0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-*