Multilingual Dataset for Knowledge Distillation

该数据集包含了多种语言的输入序列，分为英语、法语、德语和Python语言类别，旨在用于训练模块化语言模型。此外，该数据集还应用于评估在多语言环境中不同的知识蒸馏方法和模块化架构。其任务是针对多语言语言模型的知识蒸馏。

This dataset comprises multilingual input sequences, categorized into four language classes: English, French, German, and Python. It is designed for training modular language models. Additionally, it can be used to evaluate various knowledge distillation methods and modular architectures in multilingual environments. The core task of this dataset is knowledge distillation for multilingual language models.