cesun/SODA

SODA: Safety Over Depth for Agents Benchmark dataset for The Cold-Start Safety Gap in LLM Agents. Overview SODA evaluates how conversation depth affects agent safety. Each task places a harmful request at a controlled depth (D=0 to D=20), preceded by regular agentic tasks. The benchmark spans 16 tool-use environments with 80 scenarios. Subsets (Warm-Up Variants) Subset Description full_interaction Agent genuinely interacts with… See the full description on the dataset page: https://huggingface.co/datasets/cesun/SODA.

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