Public-safe calibration corpus for a steep 50% REAP expert-pruning pass on GLM-5.2. The mix is weighted to preserve agent harness/tool behavior and coding capability, while retaining baseline general knowledge, basic math/reasoning, infra, security, shell, and home-lab competence. This is intended for router/expert activation profiling only. It is not a supervised training set or benchmark.

Stats… See the full description on the dataset page: https://huggingface.co/datasets/hornsan1/Vera-Agentic-Coder.