NeoRL-2

该数据集是由19个亚马逊评论数据集组合而成的复合数据集，旨在用于训练基础推荐模型。它通过整合多个亚马逊数据集，形成了广泛用于训练的大规模数据。此外，该数据集还包括了缩减至30,000名用户的记录，以便于执行训练基础推荐模型的任务。

This composite dataset is compiled from 19 Amazon review datasets, designed for training basic recommendation models. By integrating these datasets, it forms a large-scale dataset widely utilized for model training. Furthermore, this dataset also includes records filtered to retain only 30,000 users, which facilitates the training of basic recommendation models.