Madlad-10B

该数据集采用了一种编码器-解码器架构，在大量的平行数据上进行训练，以实现高质量的机器翻译。在提出的集成方法中，该数据集被用作生成器，旨在提高翻译质量。其任务专注于机器翻译领域。

This dataset adopts an encoder-decoder architecture, and is trained on massive parallel corpora to achieve high-quality machine translation. In the proposed ensemble method, this dataset serves as a generator with the goal of enhancing translation quality. Its task is specifically focused on the field of machine translation.