hon9kon9ize/yue-alpaca

---
language: yue
license: cc-by-nc-4.0
size_categories:
- 1K<n<10K
tags:
- sft
- alpaca
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 6906174
num_examples: 18649
download_size: 4606648
dataset_size: 6906174
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

# 廣東話草泥馬

## Dataset Card for Cantonese Alpaca


- repository: (https://github.com/hon9kon9ize/yue-alpaca)

## Dataset Description

This dataset contains Cantonese Instruction-Following generated by Gemini Pro using [Stanford's Alpaca](https://github.com/tatsu-lab/stanford_alpaca) prompts for fine-tuning LLMs.

Attention: This dataset is generated by Gemini Pro and has not undergone rigorous verification. The content may contain errors. Please keep this in mind when using it.

## Licensing Information

The dataset is available under the [Creative Commons NonCommercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode).

## Citation Information

```
@misc{alpaca,
author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto },
title = {Stanford Alpaca: An Instruction-following LLaMA model},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
}
```

原始信息汇总

广东话草泥马数据集

数据集描述

该数据集包含由Gemini Pro使用Stanfords Alpaca生成的广东话指令跟随数据，用于微调大型语言模型（LLMs）。

注意：此数据集由Gemini Pro生成，未经严格验证，内容可能包含错误。请在使用时注意这一点。

数据集信息

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

分割

• train:
  • 字节数: 6906174
  • 样本数: 18649

大小

• 下载大小: 4606648
• 数据集大小: 6906174

配置

• default:
  • 数据文件:
    • 分割: train
    • 路径: data/train-*

许可信息

该数据集在Creative Commons NonCommercial (CC BY-NC 4.0)许可下提供。

引用信息

@misc{alpaca, author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, title = {Stanford Alpaca: An Instruction-following LLaMA model}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {url{https://github.com/tatsu-lab/stanford_alpaca}}, }