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OpenCompass Hub
SG-Bench
SG-Bench assess LLM safety across various tasks and prompt types. It integrates both generative and discriminative evaluation tasks and includes extended data to examine the impact of prompt engineering and jailbreak.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Peking University
- Benchmark release
- 2024-10-29
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.