UKGovernmentBEIS/inspect_evals
Nov 2024 – Feb 2026
11 Months active
Languages Used
PythonMarkdownYAML
Technical Skills
Benchmark ImplementationData HandlingLLM EvaluationNatural Language ProcessingPrompt EngineeringDocumentation
Celia Waggoner
PROFILE
Celia Waggoner
Chris Waggoner developed and maintained the UKGovernmentBEIS/inspect_evals repository over 11 months, delivering a robust benchmarking suite for long-context LLM evaluation and enhancing contributor workflows. He implemented features such as standardized issue and pull request templates, improved documentation, and refined evaluation governance, focusing on clarity and maintainability. Using Python, YAML, and Markdown, Chris addressed challenges in dataset management, CI/CD reliability, and code integration, including test gating for restricted datasets and dependency updates. His work emphasized reproducibility, contributor onboarding, and data integrity, resulting in a well-structured, scalable evaluation framework that supports reliable model assessment and streamlined open-source collaboration.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
27Total
Bugs
6
Commits
27
Features
12
Lines of code
15,404
Activity Months11
Your Network
101 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a Pull Request Evaluation Checklist Enhancement for UKGovernmentBEIS/inspect_evals, adding an Evaluation Checklist to the PR template to ensure new evaluations are properly reviewed and existing evaluations are considered during changes. This governance improvement reduces risk, improves review quality, and aligns with code quality standards. No major bugs fixed this month; focus was on process improvements and documentation alignment.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a Pull Request Evaluation Checklist Enhancement for UKGovernmentBEIS/inspect_evals, adding an Evaluation Checklist to the PR template to ensure new evaluations are properly reviewed and existing evaluations are considered during changes. This governance improvement reduces risk, improves review quality, and aligns with code quality standards. No major bugs fixed this month; focus was on process improvements and documentation alignment.
February 2026
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) performance review for UKGovernmentBEIS/inspect_evals. Focused on reliability, maintainability, and attribution accuracy. Key changes include gating GAIA end-to-end tests behind dataset access to prevent false failures in environments without dataset access, removal of the SandboxBench evaluation framework and related version-check scripts to simplify the codebase, and correction of contributor attribution across AgentDojo to ensure accurate credit. These efforts reduce CI noise, lower ongoing maintenance costs, and improve governance of contributions, enabling faster delivery cycles and cleaner release notes. Technologies demonstrated include test gating in CI, codebase hygiene through framework/script removal, and precise attribution across repositories.
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) performance review for UKGovernmentBEIS/inspect_evals. Focused on reliability, maintainability, and attribution accuracy. Key changes include gating GAIA end-to-end tests behind dataset access to prevent false failures in environments without dataset access, removal of the SandboxBench evaluation framework and related version-check scripts to simplify the codebase, and correction of contributor attribution across AgentDojo to ensure accurate credit. These efforts reduce CI noise, lower ongoing maintenance costs, and improve governance of contributions, enabling faster delivery cycles and cleaner release notes. Technologies demonstrated include test gating in CI, codebase hygiene through framework/script removal, and precise attribution across repositories.
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — This period focused on refining issue categorization for benchmarks within UKGovernmentBEIS/inspect_evals. Delivered a key feature to update the benchmark issue template, removing the 'enhancement' label to reflect the evolved categorization model. No major bugs reported or fixed this month; primary activity centered on template/content changes and labeling hygiene. Impact: improved accuracy of issue classification, better governance alignment, and cleaner analytics on benchmark-related work. Skills demonstrated include Git-based change control, issue template design, labeling taxonomy, and cross-team collaboration to align project processes. Tech stack/skills: Git, issue templates, labeling workflows, and documentation updates to reflect taxonomy.
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — This period focused on refining issue categorization for benchmarks within UKGovernmentBEIS/inspect_evals. Delivered a key feature to update the benchmark issue template, removing the 'enhancement' label to reflect the evolved categorization model. No major bugs reported or fixed this month; primary activity centered on template/content changes and labeling hygiene. Impact: improved accuracy of issue classification, better governance alignment, and cleaner analytics on benchmark-related work. Skills demonstrated include Git-based change control, issue template design, labeling taxonomy, and cross-team collaboration to align project processes. Tech stack/skills: Git, issue templates, labeling workflows, and documentation updates to reflect taxonomy.
December 2025
November 2025
1 Commits
Nov 1, 2025Month: 2025-11 — Focused on data integrity and attribution correctness in the UKGovernmentBEIS/inspect_evals repository. Delivered a targeted contributor attribution correction for the CommonsenseQA dataset, ensuring accurate author reflection across files and commits. The change improves dataset provenance, trust, and downstream processing consistency.
November 2025
1 Commits
Nov 1, 2025Month: 2025-11 — Focused on data integrity and attribution correctness in the UKGovernmentBEIS/inspect_evals repository. Delivered a targeted contributor attribution correction for the CommonsenseQA dataset, ensuring accurate author reflection across files and commits. The change improves dataset provenance, trust, and downstream processing consistency.
September 2025
2 Commits
Sep 1, 2025September 2025 monthly summary for UKGovernmentBEIS/inspect_evals focusing on test-suite reliability for gated datasets. Implemented targeted test handling to accommodate restricted data access, reducing false negatives and improving CI stability.
2 Commits
Sep 1, 2025September 2025 monthly summary for UKGovernmentBEIS/inspect_evals focusing on test-suite reliability for gated datasets. Implemented targeted test handling to accommodate restricted data access, reducing false negatives and improving CI stability.
September 2025
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025 – UKGovernmentBEIS/inspect_evals: Delivered targeted enhancements across docs, tests, and dependencies to improve governance, reliability, and speed of iteration. Key outcomes include clearer benchmark proposal guidance, more resilient test suites, and up-to-date dependencies.
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025 – UKGovernmentBEIS/inspect_evals: Delivered targeted enhancements across docs, tests, and dependencies to improve governance, reliability, and speed of iteration. Key outcomes include clearer benchmark proposal guidance, more resilient test suites, and up-to-date dependencies.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered a Benchmark PR Template Enhancement for the UKGovernmentBEIS/inspect_evals repository to standardize contributions and improve submission quality. Implemented a comprehensive submission checklist and expanded guidelines across evaluation criteria, code implementation, documentation, dependencies, testing, QA, and validation; aligned with contributing guidelines to streamline governance and approvals. No major bugs fixed this period. Overall impact: faster review cycles, higher-quality PRs, and stronger conformity with governance standards. Technologies/skills demonstrated: Git, PR templating, documentation, cross-team collaboration, and adherence to contributing guidelines.
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered a Benchmark PR Template Enhancement for the UKGovernmentBEIS/inspect_evals repository to standardize contributions and improve submission quality. Implemented a comprehensive submission checklist and expanded guidelines across evaluation criteria, code implementation, documentation, dependencies, testing, QA, and validation; aligned with contributing guidelines to streamline governance and approvals. No major bugs fixed this period. Overall impact: faster review cycles, higher-quality PRs, and stronger conformity with governance standards. Technologies/skills demonstrated: Git, PR templating, documentation, cross-team collaboration, and adherence to contributing guidelines.
July 2025
May 2025
3 Commits • 2 Features
May 1, 2025Monthly summary for 2025-05 - UKGovernmentBEIS/inspect_evals Key features delivered - Added standardized issue and PR templates to streamline bug reporting and new benchmark submissions. (Commit: f7f1ded490ffe59a78508d9feb554ad770a8bd04) - Updated benchmark categorization to move V*bench and DocVQA from Reasoning to Multimodal, clarifying evaluation groupings. (Commit: 06c7577ece3697a36ccf4101dc8b95c19ec6543a) Major bugs fixed - Prerender: corrected indentation for multi-line front matter descriptions and fixed README link to the proper location of prompts.py, stabilizing the Render and Publish build step. (Commit: f7f1ded490ffe59a78508d9feb554ad770a8bd04) Overall impact and accomplishments - Improved contributor onboarding and submission quality through templates, enabling faster PR reviews and fewer defects in new benchmarks. - Strengthened evaluation framework clarity, reducing misclassification and improving benchmarking accuracy. - Hardened the build pipeline by fixing prerender front matter formatting, reducing build failures and enabling smoother releases. Technologies/skills demonstrated - Front matter prerendering, Markdown templating, repository hygiene and documentation maintenance. - CI/CD build pipeline stabilization and attention to details in front-end generation steps. - Version control discipline: consistent commits, descriptive messages, and structured templates.
May 2025
3 Commits • 2 Features
May 1, 2025Monthly summary for 2025-05 - UKGovernmentBEIS/inspect_evals Key features delivered - Added standardized issue and PR templates to streamline bug reporting and new benchmark submissions. (Commit: f7f1ded490ffe59a78508d9feb554ad770a8bd04) - Updated benchmark categorization to move V*bench and DocVQA from Reasoning to Multimodal, clarifying evaluation groupings. (Commit: 06c7577ece3697a36ccf4101dc8b95c19ec6543a) Major bugs fixed - Prerender: corrected indentation for multi-line front matter descriptions and fixed README link to the proper location of prompts.py, stabilizing the Render and Publish build step. (Commit: f7f1ded490ffe59a78508d9feb554ad770a8bd04) Overall impact and accomplishments - Improved contributor onboarding and submission quality through templates, enabling faster PR reviews and fewer defects in new benchmarks. - Strengthened evaluation framework clarity, reducing misclassification and improving benchmarking accuracy. - Hardened the build pipeline by fixing prerender front matter formatting, reducing build failures and enabling smoother releases. Technologies/skills demonstrated - Front matter prerendering, Markdown templating, repository hygiene and documentation maintenance. - CI/CD build pipeline stabilization and attention to details in front-end generation steps. - Version control discipline: consistent commits, descriptive messages, and structured templates.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 (UKGovernmentBEIS/inspect_evals) focused on strengthening contribution governance and documentation to improve evaluation quality and contributor onboarding. Key features delivered: Evaluation contribution guidelines enhancements, consolidating and expanding CONTRIBUTING.md to clarify acceptance criteria for new evaluations, emphasize credible sourcing and research community establishment, require comprehensive tests, and provide detailed guidance for contributors (reporting useful evaluations, dataset usage notes, and epoch calculation). These changes were implemented through a series of commits updating eval criteria and contributor guidance. Minor documentation fix: README link corrected to Dockerfile.template to ensure correct environment setup reference. Overall impact: clearer contribution processes, higher quality evaluation artifacts, better maintainability and governance. Technologies/skills demonstrated: documentation best practices, contribution workflow improvements, version control hygiene, and alignment with Docker environment templating. Business value: faster, more reliable contributions, reduced onboarding time, and stronger credibility for community-contributed evaluations.
5 Commits • 1 Features
Apr 1, 2025April 2025 (UKGovernmentBEIS/inspect_evals) focused on strengthening contribution governance and documentation to improve evaluation quality and contributor onboarding. Key features delivered: Evaluation contribution guidelines enhancements, consolidating and expanding CONTRIBUTING.md to clarify acceptance criteria for new evaluations, emphasize credible sourcing and research community establishment, require comprehensive tests, and provide detailed guidance for contributors (reporting useful evaluations, dataset usage notes, and epoch calculation). These changes were implemented through a series of commits updating eval criteria and contributor guidance. Minor documentation fix: README link corrected to Dockerfile.template to ensure correct environment setup reference. Overall impact: clearer contribution processes, higher quality evaluation artifacts, better maintainability and governance. Technologies/skills demonstrated: documentation best practices, contribution workflow improvements, version control hygiene, and alignment with Docker environment templating. Business value: faster, more reliable contributions, reduced onboarding time, and stronger credibility for community-contributed evaluations.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on documentation improvements for Inspect Evals to improve user clarity and onboarding. Key enhancements include a clearer evaluation benchmark narrative and a dashboard overview in the README, plus a direct link to the Inspect Evals Dashboard for quick access. No major bugs fixed this month; the efforts centered on quality of documentation and discoverability, delivering measurable business value by accelerating evaluation setup and reducing time-to-insight.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on documentation improvements for Inspect Evals to improve user clarity and onboarding. Key enhancements include a clearer evaluation benchmark narrative and a dashboard overview in the README, plus a direct link to the Inspect Evals Dashboard for quick access. No major bugs fixed this month; the efforts centered on quality of documentation and discoverability, delivering measurable business value by accelerating evaluation setup and reducing time-to-insight.
November 2024
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered the ∞Bench Benchmark Suite for long-context LLM evaluation in UKGovernmentBEIS/inspect_evals. The feature introduces end-to-end evaluation across retrieval, coding, math, and dialogue tasks, with per-task prompt and scoring adjustments and robust input truncation strategies to handle long inputs across model types. Committed as part of Arcadia Impact (#34). This work establishes a scalable, repeatable benchmarking framework that informs model selection, tuning, and policy tooling, enabling safer and more effective deployment of LLM-based capabilities in BEIS workflows.
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered the ∞Bench Benchmark Suite for long-context LLM evaluation in UKGovernmentBEIS/inspect_evals. The feature introduces end-to-end evaluation across retrieval, coding, math, and dialogue tasks, with per-task prompt and scoring adjustments and robust input truncation strategies to handle long inputs across model types. Committed as part of Arcadia Impact (#34). This work establishes a scalable, repeatable benchmarking framework that informs model selection, tuning, and policy tooling, enabling safer and more effective deployment of LLM-based capabilities in BEIS workflows.
November 2024
Activity
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Quality Metrics
Correctness95.6%
Maintainability94.0%
Architecture90.0%
Performance91.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
Benchmark ImplementationBug FixingCI/CDCode IntegrationCode StandardsConfiguration ManagementContribution GuidelinesData HandlingDataset ManagementDependency ManagementDocumentationGitHub ActionsIssue Template ManagementLLM EvaluationNatural Language Processing
Repositories Contributed To
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