https://github.com/ai-forever/ruscode
Official repository for RusCode benchmark dataset (NAACL 2025)
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Keywords
Repository
Official repository for RusCode benchmark dataset (NAACL 2025)
Statistics
- Stars: 4
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation
Official repository for RusCode benchmark dataset (NAACL 2025)
Text-to-image generation models have gained popularity among users around the world. However, many of these models exhibit a strong bias toward English-speaking cultures, ignoring or misrepresenting the unique characteristics of other language groups, countries, and nationalities. The lack of cultural awareness can reduce the generation quality and lead to undesirable consequences such as unintentional insult, and the spread of prejudice. In contrast to the field of natural language processing, cultural awareness in computer vision has not been explored as extensively.
We propose a RusCode benchmark for evaluating the quality of text-to-image generation containing elements of the Russian cultural code. To do this, we form a list of 19 categories that best represent the features of Russian visual culture. Our final dataset consists of 1250 text prompts in Russian and their translations into English. The prompts cover a wide range of topics, including complex concepts from art, popular culture, folk traditions, famous people's names, natural objects, scientific achievements, etc.
Categories
References
Statistic
The ratio of the number of collected prompts by each category in the RusCode dataset
Citation
You can cite the paper using the following BibTeX entry:
@misc{vasilev2025ruscoderussianculturalcode,
title={RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation},
author={Viacheslav Vasilev and Julia Agafonova and Nikolai Gerasimenko and Alexander Kapitanov and Polina Mikhailova and Evelina Mironova and Denis Dimitrov},
year={2025},
eprint={2502.07455},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2502.07455},
}
Owner
- Name: AI Forever
- Login: ai-forever
- Kind: organization
- Location: Armenia
- Repositories: 60
- Profile: https://github.com/ai-forever
Creating ML for the future. AI projects you already know. We are non-profit organization with members from all over the world.
GitHub Events
Total
- Watch event: 3
- Member event: 1
- Push event: 4
- Create event: 2
Last Year
- Watch event: 3
- Member event: 1
- Push event: 4
- Create event: 2
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| vivasilev | s****8@y****u | 3 |
| Alexander Kapitanov | s****r@b****u | 2 |
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- Total pull requests: 0
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- Average comments per issue: 0
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Past Year
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- Bot issues: 0
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