DecodingTrust Agent Platform A Controllable and Interactive Red Teaming Platform for AI Agents. This is the full collection of the agent trajectories produced from evaluating the DTap Bench from DecodingTrust Agent Platform (DTAP), spanning 14 real world domains and 50+ simulation environments that replicate widely used systems such as Google Workspace, PayPal, Slack, Salesforce, Snowflake, and Databricks. Each task ships the configuration the evaluator needs to spin up the sandbox, run an agent, and verify the outcome — config.yaml (task spec + MCP server bindings), setup.sh (per task environment seeding), and judge.py (verifiable outcome check). 🌐 Website: 📦 SDK / runner: 📄 Paper: DecodingTrust Agent Platform (DTAP): A Controllable and Interactive Red Teaming Platform for AI Agents. Zhaorun Chen et al., 2026. What's in this dataset Domain Benign tasks Malicious tasks : : browser 34 167 code 330 286 crm 165 240 customer service 160 201 finance 200 400 legal 200 400 macos 30 103 medical 642 451 os filesystem 200 400 research 160 244 telecom 120 327 travel 130 225 windows 100 247 workflow 335 185 Total 2,806 3,876 Malicious tasks are further partitioned by threat model ( direct v…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
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