hww123/MAADBench-full

MAADBench-Full: Multi-Agent Anomaly Detection with Tool Use MAADBench-Full contains 5,200 fully labeled execution traces from five LLMs solving synthetic escape-room tasks. The updated release adds paired tool-enabled and no-tool runs over two clue domains, making it possible to study tool selection, argument construction, tool execution failures, error recovery, and downstream error propagation in a controlled multi-agent system. Dataset Overview Property… See the full description on the dataset page: https://huggingface.co/datasets/hww123/MAADBench-full.

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