license: cc-by-4.0
task_categories:
- text-generation
language:
- ru
tags:
- poetry
pretty_name: Ars Poetica
size_categories:
- 1K<n<10K
Ars Poetica
The Ars Poetica dataset is a collection of Russian-language poetry from the 19th and 20th centuries, annotated with stress marks. This dataset is designed to support research in generative poetry, computational linguistics, and related fields.
Stress marks were automatically assigned using the RussianPoetryScansionTool library. While the dataset has undergone selective manual validation, users should be aware of potential inaccuracies due to the automated process.
Example
За́йку бро́сила хозя́йка —
Под дождё́м оста́лся за́йка.
Со скаме́йки сле́зть не мо́г,
Ве́сь до ни́точки промо́к.
Citing
If you use this dataset in your research or projects, please cite it as follows:
@misc{Conversations,
author = {Ilya Koziev},
title = {Ars Poetica Dataset},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/inkoziev/ArsPoetica}},
}
License
This dataset is licensed under the CC-BY-NC-4.0 license, which permits non-commercial use only. For commercial use, please contact the author at [[email protected]].
By using this dataset, you agree to:
- Provide proper attribution to the author.
- Refrain from using the dataset for commercial purposes without explicit permission.
Other resources
If you are interested in stress placement and homograph resolution, check out our Homograph Resolution Evaluation Dataset and Rifma datasets.
Limitations
Automated Processing: The dataset was generated through automated methods with only selective manual validation. As a result, some poems may contain misspellings, typos, or other imperfections.
Limited Scope: The dataset does not encompass the full range of Russian poetic works. Many genres, forms, and longer compositions are excluded, making it unsuitable as a comprehensive anthology of Russian poetry.