Regression¶
- Number of tasks: 2
RuSciBenchCitedCountRegression¶
Predicts the number of times a scientific article has been cited by other papers. The prediction is based on the article's title and abstract. The data is sourced from the Russian electronic library of scientific publications (eLibrary.ru) and includes papers with both Russian and English abstracts.
Dataset: mlsa-iai-msu-lab/ru_sci_bench_mteb
• License: mit • Learn more →
Task category | Score | Languages | Domains | Annotations Creators | Sample Creation |
---|---|---|---|---|---|
text to category (t2c) | kendalltau | eng, rus | Academic, Non-fiction, Written | derived | found |
Citation
@article{vatolin2024ruscibench,
author = {Vatolin, A. and Gerasimenko, N. and Ianina, A. and Vorontsov, K.},
doi = {10.1134/S1064562424602191},
issn = {1531-8362},
journal = {Doklady Mathematics},
month = {12},
number = {1},
pages = {S251--S260},
title = {RuSciBench: Open Benchmark for Russian and English Scientific Document Representations},
url = {https://doi.org/10.1134/S1064562424602191},
volume = {110},
year = {2024},
}
RuSciBenchYearPublRegression¶
Predicts the publication year of a scientific article. The prediction is based on the article's title and abstract. The data is sourced from the Russian electronic library of scientific publications (eLibrary.ru) and includes papers with both Russian and English abstracts.
Dataset: mlsa-iai-msu-lab/ru_sci_bench_mteb
• License: mit • Learn more →
Task category | Score | Languages | Domains | Annotations Creators | Sample Creation |
---|---|---|---|---|---|
text to category (t2c) | kendalltau | eng, rus | Academic, Non-fiction, Written | derived | found |
Citation
@article{vatolin2024ruscibench,
author = {Vatolin, A. and Gerasimenko, N. and Ianina, A. and Vorontsov, K.},
doi = {10.1134/S1064562424602191},
issn = {1531-8362},
journal = {Doklady Mathematics},
month = {12},
number = {1},
pages = {S251--S260},
title = {RuSciBench: Open Benchmark for Russian and English Scientific Document Representations},
url = {https://doi.org/10.1134/S1064562424602191},
volume = {110},
year = {2024},
}