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""" |
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Text content for the GuardBench Leaderboard. |
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""" |
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TITLE = """ |
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<div style="text-align: center; margin-bottom: 1rem"> |
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<h1>CircleGuardBench Leaderboard</h1> |
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</div> |
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""" |
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INTRODUCTION_TEXT = """ |
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## Introduction |
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CircleGuardBench is a comprehensive benchmark for evaluating the protection capabilities of large language model (LLM) guard systems. |
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This leaderboard tracks model performance across various safety categories, including harmful content detection, |
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jailbreak resistance, and more. |
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Models are evaluated on their ability to properly refuse harmful requests and detect problematic content |
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across multiple categories and test scenarios. |
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""" |
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LLM_BENCHMARKS_TEXT = """ |
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CircleGuardBench is the first-of-its-kind benchmark for evaluating the protection capabilities of large language model (LLM) guard systems. |
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It tests how well guard models block harmful content, resist jailbreaks, avoid false positives, and operate efficiently in real-time environments on a taxonomy close to real-world data. |
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Learn more about us at [whitecircle.ai](https://whitecircle.ai) |
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""" |
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EVALUATION_QUEUE_TEXT = """ |
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## Submit Your Model |
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To add your model to the CircleGuardBench leaderboard: |
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1. Run your evaluation using the CircleGuardBench framework at https://github.com/whitecircle-ai/circle-guard-bench |
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2. Upload your run results in .jsonl format using this form. |
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3. Once validated, your model will appear on the leaderboard. |
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### ✉️✨ Ready? Upload your results below! |
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""" |
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CITATION_BUTTON_LABEL = "Cite CircleGuardBench" |
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CITATION_BUTTON_TEXT = """ |
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@misc{circleguardbench2025, |
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author = {whitecircle-ai}, |
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title = {CircleGuardBench: Comprehensive Benchmark for LLM Safety Guardrails. Learn more about us at whitecircle.ai}, |
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year = {2025}, |
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publisher = {GitHub}, |
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journal = {GitHub repository}, |
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howpublished = {\\url{https://github.com/whitecircle-ai/circle-guard-bench}} |
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} |
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""" |
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