src/SUBSET_NOTES.md

covcollab -- dataset subset

This is a self-contained subset of the covcollab research package: the 30 modules that are the exact build / verify / load transitive closure of the covert-collaboration Eve-detection dataset, plus the Universal-Eve trainer (universaleve/multitask.py, covcollab-eve-mtl). Dropped: the policy-design CLIs, learned-Eve architecture zoo, GA subset-selection, OOD evaluators, the on-the-fly streaming trainer, materialize, and the coordination model.

Install and use it standalone:

pip install ".[hf]"                              # numpy + torch + pyarrow
covcollab-eve-controlled --verify --out ..       # regenerate + assert bit-identity
covcollab-eve-mtl --data .. --regime both        # train the warden (see ../TRAINING.md)

Verified with Python 3.14 / numpy 2.5.1 / torch 2.13.0 (exact versions recorded in ../manifest.json); the lower bounds in pyproject.toml are best-effort.