ACL2025
StRuCom: A Novel Dataset of Structured Code Comments in Russian
Maria Dziuba, Valentin Malykh
Abstract
Structured code comments in docstring format are essential for code comprehension and maintenance, but existing machine learning models for their generation perform poorly for Russian compared to English. To bridge this gap, we present StRuCom -the first large-scale dataset (153K examples) specifically designed for Russian code documentation. Unlike machine-translated English datasets that distort terminology (e.g., technical loanwords vs. literal translations) and docstring structures, StRuCom combines human-written comments from Russian GitHub repositories with synthetically generated ones, ensuring compliance with Python, Java, JavaScript, C#, and Go standards through automated validation. * short description * * long description * * @param name1 description1 * @param name2 description2 * @return description * @throws type description */ (b) JavaDoc comment style /