# Apptainer pool for hamishivi/agent-task-recursive-task-synthesis

This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in [hamishivi/agent-task-recursive-task-synthesis](https://huggingface.co/datasets/hamishivi/agent-task-recursive-task-synthesis). The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.

## Apptainer images

The pool currently contains **29,501 / 29,501** verified Apptainer SIF images. Shared environments are stored once. Each published SIF passed `apptainer inspect`, a contained shell smoke check, and remote SHA256 verification. These checks do not constitute a full task evaluation.

Download `apptainer/download_apptainer.py` and run with Python 3.11+ and `huggingface_hub` installed:

```sh
python download_apptainer.py --repo TMaxxx/agent-task-recursive-task-synthesis --output ./sifs --allow-partial
export SWERL_APPTAINER_SIF_DIR="$PWD/sifs"
```

Omit `--allow-partial` to require a complete pool. Filenames follow `tmax-private/geomean_mask` image resolution. Task archives and the training split remain necessary. `apptainer/manifest.jsonl` records source references, SIF checksums, publication commits, and build provenance. Pending images cannot run from this pool yet. Indexes refresh periodically while builds are in progress.