UniversalCEFR/readme_hi

该数据集已经被索引在UniversalCEFR中。转换后的版本（JSON格式）保留了原始数据集的许可信息。数据集的归属权和版权仍归原作者和/或数据集论文作者所有。如果使用这个转换后的数据集，必须引用以下信息：数据集许可为cc-by-nc-sa-4.0，数据集存储库为https://github.com/tareknaous/readme，原始数据集论文为Tarek Naous等人于2024年发表的《ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment》。

This dataset has been indexed in the UniversalCEFR. The transformed version (in JSON format) retains the same license as the original dataset. Ownership and copyright remain with the original creators and/or dataset paper authors. If you use this transformed dataset, you must cite the following: Dataset License: cc-by-nc-sa-4.0, Dataset Repository: https://github.com/tareknaous/readme, Original Dataset Paper: Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, and Wei Xu. 2024. ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 12230–12266, Miami, Florida, USA. Association for Computational Linguistics.