OpenLLM-Ro/ro_sft_alpaca

---
license: cc-by-nc-4.0
language:
- ro
---
### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
[Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset contains 52K instruction-following data used for fine-tuning the original Alpaca model.

Here we provide the Romanian translation of the Alpaca dataset, translated with [Systran](https://www.systransoft.com/).
This dataset is part of the instruction finetune protocol for Romanian LLMs proposed in *"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions* ([Masala et al., 2024](https://arxiv.org/abs/2406.18266)).

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

```bibtex
@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}},
}
```

```bibtext
@article{masala2024vorbecstiromanecsterecipetrain,
title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions},
author={Mihai Masala and Denis C. Ilie-Ablachim and Alexandru Dima and Dragos Corlatescu and Miruna Zavelca and Ovio Olaru and Simina Terian and Andrei Terian and Marius Leordeanu and Horia Velicu and Marius Popescu and Mihai Dascalu and Traian Rebedea},
year={2024},
eprint={2406.18266},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

---
许可证：CC BY-NC 4.0
语言：
- 罗马尼亚语（ro）
---
### 数据集描述
<!-- 提供该数据集的详细概述 -->
阿尔帕卡（Alpaca）数据集包含5.2万条指令遵循数据，用于对原始阿尔帕卡模型进行微调，其官方GitHub仓库地址为：https://github.com/tatsu-lab/stanford_alpaca。

本次发布的是阿尔帕卡数据集的罗马尼亚语翻译版本，翻译工作由Systran完成，其官方网站为：https://www.systransoft.com/。
本数据集是《"Vorbeşti Româneşte?" 利用英文指令训练高性能罗马尼亚语大语言模型（Large Language Models, LLMs）》（Masala等人，2024）中提出的罗马尼亚语大语言模型指令微调协议的组成部分，该论文的arXiv链接为：https://arxiv.org/abs/2406.18266。

## 引用
<!-- 若有介绍该数据集的论文或博客文章，请在此处提供其APA和Bibtex引用信息 -->

bibtex
@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 = {"斯坦福阿尔帕卡：一款指令遵循型LLaMA模型"},
year = {2023},
publisher = {GitHub},
journal = {GitHub仓库},
howpublished = {url{https://github.com/tatsu-lab/stanford_alpaca}},
}

bibtext
@article{masala2024vorbecstiromanecsterecipetrain,
title = {"Vorbec{s}ti Rom^anec{s}te?" 利用英文指令训练高性能罗马尼亚语大语言模型的实操指南},
author = {Mihai Masala and Denis C. Ilie-Ablachim and Alexandru Dima and Dragos Corlatescu and Miruna Zavelca and Ovio Olaru and Simina Terian and Andrei Terian and Marius Leordeanu and Horia Velicu and Marius Popescu and Mihai Dascalu and Traian Rebedea},
year = {2024},
eprint = {2406.18266},
archivePrefix = {arXiv},
primaryClass = {cs.CL}
}