saillab/alpaca_zulu_taco

Name: saillab/alpaca_zulu_taco
Creator: saillab
Published: 2024-06-12T03:26:52+08:00

Hugging Face2024-09-20 更新2024-06-12 收录

机器学习

文本处理

数据链接：

https://hf-mirror.com/datasets/saillab/alpaca_zulu_taco 数据链接链接失效反馈

官方服务：

资源简介：

--- language: - zu pretty_name: Zulu 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.

--- language: - zu pretty_name: 祖鲁语alpaca-52k size_categories: - 10万<n<100万 --- 本仓库包含用于TaCo论文的数据集。该数据集遵循TaCo论文中概述的格式，具体如下： { "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 " } 更多详情请参考该论文：[OpenReview](https://openreview.net/forum?id=02MLWBj8HP) 如果您使用了本数据集，请按以下格式引用： **引用格式** @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} } 原始数据集[(Alpaca-52K)](https://github.com/tatsu-lab/stanford_alpaca?tab=readme-ov-file#data-release)使用谷歌翻译（Google Translate）进行翻译。 **版权与预期用途** 本数据集已根据CC BY-NC协议发布，仅用于学术和研究目的。在将本数据集用于研究以外的任何目的前，请查阅Alpaca-52K、Dolly-15K和谷歌云翻译（Google Cloud Translation）的许可协议及条款。

提供机构：

saillab

原始信息汇总