datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
adaptive-adversaries-data
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security
A 21-scenario multi-turn (15-round) adversarial red-teaming benchmark for LLM agents, in which both attacker and defender are independent LLM agents and attacks are regenerated per battle. Includes calibrated 3×3 attacker × defender matrix evaluation, full battle transcripts, attack-replay corpus, and traces from two open AgentBeats competitions.
Companion paper: Adaptive Adversaries: A Multi-Turn… See the full description on the dataset page: https://huggingface.co/datasets/neurips-adaptive-adversaries/adaptive-adversaries-data.adaptive_reasoning_training_datasetadaptive_reasoning_merged_datasetllm-adaptive-attack-dataset