aifinlab/S2Bench
S2Bench (Spider-Sense Benchmark) S2Bench is a specialized dataset designed to evaluate the security and robustness of Large Language Model (LLM) agents in complex dynamic environments. It is a core component of the Spider-Sense framework, covering the full lifecycle from planning to execution. Dataset Summary S2Bench includes four primary evaluation dimensions (Stages): Stage Action: Evaluates the compliance and safety of agent actions. Stage Observation:… See the full description on the dataset page: https://huggingface.co/datasets/aifinlab/S2Bench.
| Author / organization | aifinlab |
|---|---|
| License (as declared) | mit |
| Downloads | 239 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 4 February 2026 |
| Last updated at source | 6 February 2026 |
Recent changes
- 16 Oct 2026 Description: S2Bench (Spider-Sense Benchmark) S2Bench is a specialized dataset designed to evaluate the security and robustness of Large Language Model (LLM) agents in complex dynamic environments. It is a core component of the Spider-Sense framework, c → S2Bench (Spider-Sense Benchmark) S2Bench is a specialized dataset designed to evaluate the security and robustness of Large Language Model (LLM) agents in complex dynamic environments. It is a core component of the Spider-Sense framework, c
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