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b656484 c409f8e b656484 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # 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.
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