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  • Add WinRateChartGenerator class for visualizing model rankings
  • Support customizable chart styles, colors, and annotations
  • Add matplotlib dependency to pyproject.toml
  • Update schema with ChartConfig dataclass
  • Integrate chart generation into zero_shot_pipeline

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- Add WinRateChartGenerator class for visualizing model rankings
- Support customizable chart styles, colors, and annotations
- Add matplotlib dependency to pyproject.toml
- Update schema with ChartConfig dataclass
- Integrate chart generation into zero_shot_pipeline
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Summary of Changes

Hello @XiaoBoAI, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the zero-shot evaluation framework by adding a powerful visualization component. It enables the automatic generation of visually appealing and highly customizable win rate charts, providing a clear graphical representation of model performance. This addition aims to improve the interpretability and presentability of evaluation outcomes, allowing users to quickly grasp and share insights into which models are performing best.

Highlights

  • New Visualization Feature: Introduced a WinRateChartGenerator class to create customizable bar charts for visualizing model rankings and win rates in zero-shot evaluations.
  • Configurable Chart Options: Added a ChartConfig dataclass to the schema, allowing users to configure chart properties such as size, DPI, format (png, svg, pdf), title, value display, and best model highlighting.
  • Pipeline Integration: Integrated the chart generation directly into the zero_shot_pipeline, making it an optional step that automatically produces a visual output of evaluation results.
  • Dependency Update: Added matplotlib as a new dependency under a visualization extra in pyproject.toml to support the chart generation.
  • Documentation Updates: Updated the zero-shot evaluation documentation to reflect the new visualization capabilities, including pipeline steps, output files, and configuration examples.

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Code Review

This pull request introduces a WinRateChartGenerator for visualizing model evaluation results, which is a great addition for presenting findings. The implementation is well-structured, with good support for CJK fonts and customizable chart styles. My review includes a few suggestions to improve robustness and maintainability. I've pointed out a potential bug in setting the y-axis limit for the chart that could occur with zero-value win rates. I've also suggested some minor code cleanups, such as removing an unused variable and a redundant log message, and a way to make configuration handling more robust. Overall, this is a solid feature addition. The changes are well-documented and integrated into the existing pipeline.

- Remove standalone checkpoint.py module
- Inline checkpoint functionality into zero_shot_pipeline.py
- Simplify code structure
- Use direct import instead of TYPE_CHECKING for ChartConfig
- Initialize default ChartConfig in constructor
- Remove redundant hatch pattern logic
- Fix y-axis limit edge case when win rates are low
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LGTM

@helloml0326 helloml0326 merged commit c9ae430 into main Jan 13, 2026
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4 participants