UltraLink
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资源简介：
一个包含约100万样本的开放源代码多语言监督微调数据集，涵盖英语、中文、俄语、法语和西班牙语，旨在通过知识增强的数据增强方法提升大型语言模型在特定语言和跨语言转移能力上的表现。
An open-source multilingual supervised fine-tuning dataset containing approximately 1 million samples, covering English, Chinese, Russian, French and Spanish. It aims to enhance the performance of large language models (LLMs) on both monolingual and cross-lingual transfer capabilities via knowledge-enhanced data augmentation methods.
创建时间：
2024-02-07
