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StRuCom: A Novel Dataset of Structured Code Comments in Russian

Year: 2025

Type: conference-paper

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.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-srw.34

Authors: Maria Dziuba, Valentin Malykh

Institutions: ITMO University, International Information Technologies University

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4412889383

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