docling-project/docling-eval
Oct 2025 – Oct 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Backend DevelopmentBatch ProcessingBug FixCLI DevelopmentCVATCode Refactoring
Christoph Auer
PROFILE
Christoph Auer
During October 2025, Cau developed end-to-end CVAT folder export support for the docling-eval repository, enabling scalable conversion of entire CVAT export folders into DocLingDocument objects. Using Python and Pandas, Cau implemented a robust pipeline for merging annotation XMLs, orchestrating deliveries, and improving error handling for visualizations. The work included enhancements to reading order validation for multipage and complex document structures, providing more granular reporting and correct handling of merged elements. Cau also addressed bounding box scaling for table cells by applying consistent storage_scale transformations, improving annotation accuracy. These contributions improved data integrity and streamlined batch processing of CVAT exports.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
10Total
Bugs
2
Commits
10
Features
2
Lines of code
3,590
Activity Months1
Your Network
28 peopleWork History
October 2025
10 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for docling-eval: Delivered end-to-end capabilities for CVAT folder exports by adding folder-mode support to convert entire CVAT export folders into DocLingDocument objects, enabling scalable, folder-structured annotation workflows. Implemented a CVAT deliveries pipeline with merging annotation XMLs, orchestration, and robust error handling for visualizations, significantly improving throughput and reliability of CVAT deliveries processing. Enhanced reading order validation for multipage and complex structures, delivering more granular validation reports and correct handling of merged elements and exclusions. Resolved bounding box scaling for table cells with a consistent storage_scale transformation across table items, improving annotation accuracy and downstream rendering. Overall, these changes reduce manual intervention, improve data integrity, and enable scalable processing of richer CVAT exports across folders and multi-page documents.
10 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for docling-eval: Delivered end-to-end capabilities for CVAT folder exports by adding folder-mode support to convert entire CVAT export folders into DocLingDocument objects, enabling scalable, folder-structured annotation workflows. Implemented a CVAT deliveries pipeline with merging annotation XMLs, orchestration, and robust error handling for visualizations, significantly improving throughput and reliability of CVAT deliveries processing. Enhanced reading order validation for multipage and complex structures, delivering more granular validation reports and correct handling of merged elements and exclusions. Resolved bounding box scaling for table cells with a consistent storage_scale transformation across table items, improving annotation accuracy and downstream rendering. Overall, these changes reduce manual intervention, improve data integrity, and enable scalable processing of richer CVAT exports across folders and multi-page documents.
October 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability81.0%
Architecture78.0%
Performance73.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Backend DevelopmentBatch ProcessingBug FixCLI DevelopmentCVATCode RefactoringCode ValidationCommand Line InterfaceData ConversionData EngineeringData ProcessingData ValidationDependency ManagementDocument AnalysisDocumentation
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