DS4SD/docling
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
LaTeX processingPython programmingSoftware development
Smeet Agrawal
PROFILE
Smeet Agrawal
Worked on the DS4SD/docling repository to enhance LaTeX document processing by addressing a bug where arguments from spacing commands such as vspace and hspace were incorrectly extracted as inline text. Using Python, the developer extended the MACROS_SPACING set and implemented additional guards in macro and text node processing functions to prevent leakage of these arguments. This approach preserved document structure and improved the reliability of automated LaTeX extraction. Updates to ground truth and test fixtures ensured that the fix was robust and regression-resistant. The work demonstrated skills in LaTeX parsing, Python programming, and collaborative software development practices.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
3,928
Activity Months1
Your Network
71 peopleWork History
April 2026
1 Commits
Apr 1, 20262026-04 Monthly Summary for DS4SD/docling: Focused on hardening LaTeX processing to preserve document integrity and prevent leakage of arguments from spacing commands. Key feature delivered: LaTeX Spacing Command Argument Leakage Prevention. Major bugs fixed: leakage of spacing command arguments during processing stopped by adding spacing macros to MACROS_SPACING and implementing guards in macro processing and text node extraction. Overall impact: more reliable LaTeX rendering, cleaner ground truth fixtures, and reduced risk of hidden text in captions/footnotes; better trust in automated document extraction and downstream QA. Technologies/skills demonstrated: macro/parser guards, macro set extension (MACROS_SPACING), test fixture updates, code collaboration; committed changes include 61809252eccc09d6af05530fd8921a4cdb46edcc, signed-off by Smeet Agrawal.
1 Commits
Apr 1, 20262026-04 Monthly Summary for DS4SD/docling: Focused on hardening LaTeX processing to preserve document integrity and prevent leakage of arguments from spacing commands. Key feature delivered: LaTeX Spacing Command Argument Leakage Prevention. Major bugs fixed: leakage of spacing command arguments during processing stopped by adding spacing macros to MACROS_SPACING and implementing guards in macro processing and text node extraction. Overall impact: more reliable LaTeX rendering, cleaner ground truth fixtures, and reduced risk of hidden text in captions/footnotes; better trust in automated document extraction and downstream QA. Technologies/skills demonstrated: macro/parser guards, macro set extension (MACROS_SPACING), test fixture updates, code collaboration; committed changes include 61809252eccc09d6af05530fd8921a4cdb46edcc, signed-off by Smeet Agrawal.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
LaTeX processingPython programmingSoftware development
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