ScalerLab/JudgeBench
JudgeBench: A Benchmark for Evaluating LLM-Based Judges π [Paper] β’ π» [Github] β’ π€ [Dataset] β’ π [Leaderboard] JudgeBench is a benchmark aimed at evaluating LLM-based judges for objective correctness on challenging response pairs. For more information on how the response pairs are constructed, please see our paper. Data Instance and Fields This release includes two dataset splits. The gpt split includes 350 unique response pairs generated by GPT-4o and theβ¦ See the full description on the dataset page: https://huggingface.co/datasets/ScalerLab/JudgeBench.
| Author / organization | ScalerLab |
|---|---|
| License (as declared) | mit |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 9 October 2024 |
| Last updated at source | 9 October 2024 |
Recent changes
- 16 Oct 2026 Description: JudgeBench: A Benchmark for Evaluating LLM-Based Judges π [Paper] β’ π» [Github] β’ π€ [Dataset] β’ π [Leaderboard] JudgeBench is a benchmark aimed at evaluating LLM-based judges for objective correctness on challenging response pairs. For m β JudgeBench: A Benchmark for Evaluating LLM-Based Judges π [Paper] β’ π» [Github] β’ π€ [Dataset] β’ π [Leaderboard] JudgeBench is a benchmark aimed at evaluating LLM-based judges for objective correctness on challenging response pairs. For m
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