Goodfire/reward-hack-data

Reward-hacking evaluation rollouts and labels Agent rollouts and reward-hacking labels behind Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations (arXiv:2609.19101), for Kimi K3, GLM 5.2 and Qwen 3.8 Max on five agentic benchmarks. Contents Directory Model Benchmark Rollouts Labels Headline swebench-verified-kimi-k3-nohack Kimi K3 SWE-bench Verified 500 judge hack rate 86.6% swebench-verified-glm-5.2-nohack… See the full description on the dataset page: https://huggingface.co/datasets/Goodfire/reward-hack-data.

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