saillab/alpaca_tsonga_taco

--- language: - ts pretty_name: Tsonga 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： - 聪加语（Tsonga） 美观名称：聪加语Alpaca-52K 规模类别： - 100K < n < 100万 --- 本仓库包含TaCo论文所使用的数据集。 该数据集遵循TaCo论文中规定的格式，具体如下： { "instruction": "xx语言指令", "input": "xx语言输入", "output": "英文指令：英文指令原文， 英文回复：英文回复原文， xx语言回复：xx语言回复原文" } 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流程提升大语言模型（LLM）在低资源语言上的跨语言迁移能力}, author={Bibek Upadhayay 与 Vahid Behzadan}, booktitle={第5届低资源/受限资源场景下的实用机器学习研讨会，国际学习表征大会（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。 **版权与使用用途** 本数据集采用CC BY-NC协议发布，仅用于学术与研究目的。在将本数据集用于研究以外的任何用途前，请务必查阅Alpaca-52K、Dolly-15K以及谷歌云翻译（Google Cloud Translation）的许可协议与相关条款。

原始信息汇总

数据集概述

数据特征

• instruction: 类型为字符串
• input: 类型为字符串
• output: 类型为字符串
• id: 类型为字符串
• text: 类型为字符串

数据分割

• train:
  • 字节数: 192219166.01503178
  • 样本数: 49601
• test:
  • 字节数: 48057697.98496823
  • 样本数: 12401

数据大小

• 下载大小: 117997649 字节
• 数据集大小: 240276864.0 字节

配置

• default:
  • 训练数据文件路径: data/train-*
  • 测试数据文件路径: data/test-*