stanford-crfm/helm
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
Data EngineeringInternationalizationMachine LearningNatural Language Processing
Jboat
PROFILE
Jboat
Jessica implemented multilingual benchmark evaluation in the stanford-crfm/helm repository, expanding support for MMLU and Winogrande datasets translated into 11 African languages. She engineered new run specification files and scenario implementations using Python, focusing on data engineering and internationalization to broaden linguistic coverage. Her work enabled the evaluation of non-English datasets, addressing the need for more inclusive benchmarking in machine learning and natural language processing. By integrating human-translated data and adapting evaluation pipelines, Jessica’s contribution provided a foundation for more representative multilingual assessments, informing localization strategies and supporting the development of products for diverse linguistic communities within the repository’s framework.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
321
Activity Months1
Your Network
22 peopleWork History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for stanford-crfm/helm: Implemented multilingual benchmark evaluation across MMLU and Winogrande for 11 African languages, including translated data, new run specifications, and scenario implementations to broaden linguistic coverage. This work extends benchmarking to non-English datasets, enabling more inclusive evaluation of multilingual capabilities and informing localization and product strategy.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for stanford-crfm/helm: Implemented multilingual benchmark evaluation across MMLU and Winogrande for 11 African languages, including translated data, new run specifications, and scenario implementations to broaden linguistic coverage. This work extends benchmarking to non-English datasets, enabling more inclusive evaluation of multilingual capabilities and informing localization and product strategy.
January 2025
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data EngineeringInternationalizationMachine LearningNatural Language Processing
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