license: cc-by-nc-sa-4.0
language:
- ru
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.