docling-project/docling-eval
Dec 2024 – Dec 2024
1 Month active
Languages Used
BashHTMLJSONMarkdownPythonSQLShellYAML
Technical Skills
AutomationBenchmarkingCI/CDCLI DevelopmentCode FormattingCode Quality
Peter Staar
PROFILE
Peter Staar
During December 2024, Taa developed an end-to-end benchmark data workflow for the docling-project/docling-eval repository, focusing on dataset creation, iteration, and visualization to support reliable benchmarking. They introduced a CLI for evaluation, integrated TEDS metrics on DPBench, and enhanced automation through CI/CD pipelines using GitHub Actions and YAML. Taa improved code quality with MyPy type checking, refactored the CLI, and stabilized evaluation components, ensuring robust data processing and validation. Their work, primarily in Python and Bash, included comprehensive documentation updates and expanded test infrastructure, resulting in a maintainable, extensible system that accelerates release cycles and supports advanced data evaluation.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
32Total
Bugs
5
Commits
32
Features
8
Lines of code
6,755
Activity Months1
Your Network
26 people
Work History
December 2024
32 Commits • 8 Features
Dec 1, 2024December 2024: Delivered an end-to-end benchmark data workflow, stabilized evaluation components, and strengthened automation and documentation. Key deliverables include benchmark data handling with visualization and BenchmarkNames support, CI/CD rollout, type-safety improvements and CLI refactor, new docling_eval CLI with initial TEDS evaluation on DPBench, and enhanced end-to-end testing with improved test infrastructure and pre-commit checks. These efforts improve data reliability for benchmarks, accelerate release cycles, and extend evaluation capabilities for DPBench-based workflows.
32 Commits • 8 Features
Dec 1, 2024December 2024: Delivered an end-to-end benchmark data workflow, stabilized evaluation components, and strengthened automation and documentation. Key deliverables include benchmark data handling with visualization and BenchmarkNames support, CI/CD rollout, type-safety improvements and CLI refactor, new docling_eval CLI with initial TEDS evaluation on DPBench, and enhanced end-to-end testing with improved test infrastructure and pre-commit checks. These efforts improve data reliability for benchmarks, accelerate release cycles, and extend evaluation capabilities for DPBench-based workflows.
December 2024
Activity
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Quality Metrics
Correctness89.4%
Maintainability89.6%
Architecture87.2%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashHTMLJSONMarkdownPythonSQLShellYAMLyaml
Technical Skills
AutomationBenchmarkingCI/CDCLI DevelopmentCode FormattingCode QualityCode RefactoringComputer VisionConfigurationConfiguration ManagementData AnalysisData EngineeringData EvaluationData HandlingData Processing
Repositories Contributed To
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