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:

```bash
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.