thunlp/SIR-Bench
Jan 2025 – Apr 2025
4 Months active
Languages Used
MarkdownHTMLJavaScriptPythonYAML
Technical Skills
DocumentationConfiguration ManagementData ManagementWeb DevelopmentBackend DevelopmentCLI Development
Myhs_phz
PROFILE
Myhs_phz
Worked on thunlp/SIR-Bench over four months, delivering features that improved dataset integration, evaluation reproducibility, and benchmarking coverage. Developed dynamic dataset discovery tools and automated statistics pages using Python and YAML, replacing static tables with searchable interfaces to streamline analysis. Enhanced evaluation workflows by implementing persistent result storage and integrating new models and datasets, including QwQ-32B, ClimateQA, and Physics. Addressed configuration management and documentation reliability by updating Sphinx settings and reverting unstable changes. Contributed to both backend and full stack development, focusing on configuration, error handling, and technical writing to support reproducible research and efficient onboarding for users.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
7
Lines of code
4,257
Activity Months4
Your Network
15 peopleWork History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance summary for thunlp/SIR-Bench. Key features delivered include the addition of ClimateQA and Physics datasets with corresponding configuration and loading logic, and the OpenICL Math Evaluator work which introduced new dataset configurations and evaluation scenarios to improve organization and coverage. Major bugs fixed include reverting the math500 dataset configuration changes to restore the original setup and fixing cross-version documentation links by updating Sphinx with github_version='main' for English and Chinese docs. Overall impact includes expanded benchmarking coverage, improved evaluation reproducibility, and more reliable documentation, enabling faster decision-making and research reproducibility. Technologies and skills demonstrated include Python-based dataset/config management, Sphinx documentation configuration, refactoring for evaluation workflows, and commit-driven collaboration.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance summary for thunlp/SIR-Bench. Key features delivered include the addition of ClimateQA and Physics datasets with corresponding configuration and loading logic, and the OpenICL Math Evaluator work which introduced new dataset configurations and evaluation scenarios to improve organization and coverage. Major bugs fixed include reverting the math500 dataset configuration changes to restore the original setup and fixing cross-version documentation links by updating Sphinx with github_version='main' for English and Chinese docs. Overall impact includes expanded benchmarking coverage, improved evaluation reproducibility, and more reliable documentation, enabling faster decision-making and research reproducibility. Technologies and skills demonstrated include Python-based dataset/config management, Sphinx documentation configuration, refactoring for evaluation workflows, and commit-driven collaboration.
April 2025
March 2025
6 Commits • 3 Features
Mar 1, 20252025-03 Monthly Summary for thunlp/SIR-Bench: Implemented persistence for evaluation results to improve reproducibility and prevent redundant computations, expanded model support with QwQ-32B integration, and published OpenCompass dataset configuration recommendations with updated docs. These efforts enhance evaluation reliability, reduce cycle time, and broaden model usage, while strengthening documentation and developer experience.
March 2025
6 Commits • 3 Features
Mar 1, 20252025-03 Monthly Summary for thunlp/SIR-Bench: Implemented persistence for evaluation results to improve reproducibility and prevent redundant computations, expanded model support with QwQ-32B integration, and published OpenCompass dataset configuration recommendations with updated docs. These efforts enhance evaluation reliability, reduce cycle time, and broaden model usage, while strengthening documentation and developer experience.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — thunlp/SIR-Bench: Implemented Dataset Discovery Improvements and Statistics Page, replacing a static HTML dataset table with a dynamic, searchable list and adding tooling to generate a dataset statistics page. This enhances dataset discoverability and reproducibility for benchmarks, enabling faster iteration and analysis.
1 Commits • 1 Features
Feb 1, 2025February 2025 — thunlp/SIR-Bench: Implemented Dataset Discovery Improvements and Statistics Page, replacing a static HTML dataset table with a dynamic, searchable list and adding tooling to generate a dataset statistics page. This enhances dataset discoverability and reproducibility for benchmarks, enabling faster iteration and analysis.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for thunlp/SIR-Bench focusing on Custom Dataset Integration Documentation. The update clarifies how users can integrate custom datasets into OpenCompass, covering configuration of dataset paths, mapping to download locations, and handling multiple data sources via environment variables. This work improves onboarding, reproducibility, and overall adoption of flexible data sources.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for thunlp/SIR-Bench focusing on Custom Dataset Integration Documentation. The update clarifies how users can integrate custom datasets into OpenCompass, covering configuration of dataset paths, mapping to download locations, and handling multiple data sources via environment variables. This work improves onboarding, reproducibility, and overall adoption of flexible data sources.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.4%
Architecture89.2%
Performance81.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptMarkdownPythonYAML
Technical Skills
Backend DevelopmentCLI DevelopmentConfiguration ManagementData ManagementDataset IntegrationDataset ManagementDocumentationError HandlingFile I/OFull Stack DevelopmentLLM EvaluationLLM IntegrationModel ConfigurationPython DevelopmentPython Scripting
Repositories Contributed To
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