saillab/alpaca_sinhala_taco
收藏资源简介：
--- language: - si pretty_name: Sinhala 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.
数据集概述
数据集特征
- 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。
数据集分割
- 训练集：包含49601个样本，总大小为270941431.3487629字节。
- 测试集：包含12401个样本，总大小为67739454.65123706字节。
数据集大小
- 下载大小：146503053字节。
- 数据集总大小：338680886.0字节。
数据文件配置
- 默认配置：
- 训练数据路径：
data/train-* - 测试数据路径：
data/test-*
- 训练数据路径：
