saillab/alpaca_yiddish_taco

--- language: - yi pretty_name: Yiddish 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： - 意第绪语（Yiddish） 展示名称：意第绪语Alpaca-52K 规模分类： - 10万<数据量<100万 --- 本仓库包含TaCo论文所使用的数据集。 该数据集遵循TaCo论文中定义的格式，具体如下： { "instruction": "xx语言的指令", "input": "xx语言的输入", "output": "英文指令：英文指令内容， 英文回复：英文回复内容， xx语言回复：xx语言回复内容 " } 如需获取更多细节，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)通过谷歌翻译（Google Translate）完成翻译。 **版权与使用意图** 本数据集采用CC BY-NC许可协议发布，仅可用于学术与研究用途。在将本数据集用于研究以外的任何用途前，请务必审阅Alpaca-52K、Dolly-15K以及谷歌云翻译（Google Cloud Translation）的许可协议与条款细则。

原始信息汇总

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
• id: 数据类型为字符串
• text: 数据类型为字符串

数据分割

• train: 包含49601个样本，大小为237527881.13678592字节
• test: 包含12401个样本，大小为59385561.86321409字节

数据大小

• 下载大小: 137745466字节
• 数据集大小: 296913443.0字节

配置

• default:
  • train: 文件路径为data/train-*
  • test: 文件路径为data/test-*