acl-org/acl-anthology
Nov 2024 – Apr 2025
2 Months active
Languages Used
TeXPython
Technical Skills
Data CorrectionDocumentationBug Fix
Ricardo Muñoz Sánchez
PROFILE
Ricardo Muñoz Sánchez
Worked on the acl-org/acl-anthology and spraakbanken/metadata repositories, focusing on data integrity, fairness, and reproducible deployment in NLP systems. Addressed author attribution issues by correcting publication metadata and display logic, ensuring accurate author names and reducing downstream errors using Python and YAML. Developed and documented a YAML-based MARB dataset resource to support bias and fairness evaluation in language models, including ethical metadata for research governance. Delivered a configuration-as-code deployment for a Swedish CEFR level classification model, enabling straightforward integration with Hugging Face. Emphasized maintainable, standards-aligned solutions with clear documentation, supporting both research and production environments in machine learning workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
125
Activity Months4
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for spraakbanken/metadata focused on delivering a YAML-driven deployment of a Swedish CEFR Level Classification model and the corresponding configuration for reproducible deployment.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for spraakbanken/metadata focused on delivering a YAML-driven deployment of a Swedish CEFR Level Classification model and the corresponding configuration for reproducible deployment.
June 2026
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a new MARB Dataset YAML Resource for Fairness and Bias Evaluation in the spraakbanken/metadata repository. This artifact adds a YAML-based MARB dataset description with metadata and ethical considerations to support systematic fairness/bias evaluation of language models. The initial commit uploaded the YAML file and accompanying dataset description, enabling reproducible bias research, governance, and auditability for product and research teams. No major bugs fixed this month; focus was on delivering a robust, standards-aligned data resource with clear usage guidelines and metadata.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a new MARB Dataset YAML Resource for Fairness and Bias Evaluation in the spraakbanken/metadata repository. This artifact adds a YAML-based MARB dataset description with metadata and ethical considerations to support systematic fairness/bias evaluation of language models. The initial commit uploaded the YAML file and accompanying dataset description, enabling reproducible bias research, governance, and auditability for product and research teams. No major bugs fixed this month; focus was on delivering a robust, standards-aligned data resource with clear usage guidelines and metadata.
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for acl-org/acl-anthology: Delivered a targeted bug fix to ensure correct display and processing of authors' last names in publication data, improving author attribution accuracy and publication metadata across the system. The fix addresses issues described in tickets #4925 and #4926 and was implemented in commit 885827776d7e3110f3ca9ee5eb356abf02969925 (message: Fixed autors' last names (#4927)).
1 Commits
Apr 1, 2025April 2025 monthly summary for acl-org/acl-anthology: Delivered a targeted bug fix to ensure correct display and processing of authors' last names in publication data, improving author attribution accuracy and publication metadata across the system. The fix addresses issues described in tickets #4925 and #4926 and was implemented in commit 885827776d7e3110f3ca9ee5eb356abf02969925 (message: Fixed autors' last names (#4927)).
April 2025
November 2024
1 Commits
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key accomplishments, delivery quality, and business impact for acl-org/acl-anthology.
November 2024
1 Commits
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key accomplishments, delivery quality, and business impact for acl-org/acl-anthology.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTeXYAML
Technical Skills
Bias and Fairness in AIBug FixData CorrectionData CurationDataset DevelopmentDocumentationNLPNatural Language Processingmachine learningmodel deployment
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
spraakbanken/metadata
Aug 2025 – Jun 2026
2 Months active
Languages Used
YAML
Technical Skills
Bias and Fairness in AIData CurationDataset DevelopmentNatural Language ProcessingNLPmachine learning