embeddings-benchmark/mteb
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
Python package developmentPython programmingbenchmarkingdata analysisdependency managementmachine learning
Peichun Hua
PROFILE
Peichun Hua
Worked on the embeddings-benchmark/mteb repository, delivering both a critical compatibility fix and a substantial benchmark expansion. Addressed dependency issues in the Jina-clip module by constraining the Transformers library version and updating required packages, ensuring continued compatibility with the latest releases and reducing build fragility. Expanded the VisRAG benchmarking suite by adding six new retrieval tasks, each with descriptive JSON statistics, thereby broadening evaluation coverage across diverse domains. Leveraged Python for package development, dependency management, and data analysis, with a focus on robust version control. The work enhanced both the reliability and the scope of benchmarking for machine learning models.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
10,956
Activity Months1
Your Network
117 peopleWork History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Delivered critical compatibility fixes for Jina-clip's Transformers dependency and expanded the VisRAG benchmarking suite, enhancing reliability and evaluation coverage. The changes reduce build fragility with latest transformer versions and broaden benchmarking scope for model comparison across additional tasks and domains.
2 Commits • 1 Features
Feb 1, 2026February 2026: Delivered critical compatibility fixes for Jina-clip's Transformers dependency and expanded the VisRAG benchmarking suite, enhancing reliability and evaluation coverage. The changes reduce build fragility with latest transformer versions and broaden benchmarking scope for model comparison across additional tasks and domains.
February 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python package developmentPython programmingbenchmarkingdata analysisdependency managementmachine learningversion control
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