Update verified Apptainer pool manifest and download instructions

.gitattributes

@@ -59,3 +59,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 task-manifest.json filter=lfs diff=lfs merge=lfs -text
+apptainer/manifest.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -93,3 +93,16 @@ python build_dataset_images.py --task-data-dir tasks --manifest task-manifest.js
 Images built by this script target Linux AMD64. If using another Docker Hub namespace, update image references consistently in the manifest, training records, and task `image.txt` files. The image status file is a publication-time snapshot.
 
 The source includes 67 references to three unavailable local image names. These tasks use the supplied build contexts and new image targets; the original names are retained in the manifest as `unavailable_upstream_image`. Source task-group IDs are also retained for grouping and splitting related tasks.
+
+## Apptainer images
+
+Apptainer SIF builds are being published under `apptainer/images/`. The current manifest lists **0 / 29,501** verified images. Shared environments are stored once. Each published image passed `apptainer inspect`, a contained shell smoke check, and HF SHA256 verification; this is not a full evaluation of its tasks.
+
+Download `apptainer/download_apptainer.py`, then run:
+
+```sh
+python download_apptainer.py --repo hamishivi/agent-task-recursive-task-synthesis --output ./sifs --allow-partial
+export SWERL_APPTAINER_SIF_DIR="$PWD/sifs"
+```
+
+The helper requires `huggingface_hub`. Omit `--allow-partial` to require a complete pool. Exact filenames follow `tmax-private/geomean_mask` image resolution. Task archives and the training split remain necessary. `apptainer/manifest.jsonl` records each source image, SIF checksum, publication commit, and build provenance. Pending images cannot run from this pool yet.

apptainer/download_apptainer.py

@@ -0,0 +1,26 @@
+"""Download a dataset's published SIF pool using tmax-compatible filenames."""
+import argparse,hashlib,json,os
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from huggingface_hub import hf_hub_download
+
+def main():
+ p=argparse.ArgumentParser(description=__doc__);p.add_argument('--repo',required=True);p.add_argument('--output',type=Path,required=True);p.add_argument('--allow-partial',action='store_true');p.add_argument('--workers',type=int,default=4);args=p.parse_args()
+ manifest=Path(hf_hub_download(args.repo,'apptainer/manifest.jsonl',repo_type='dataset'))
+ rows=[json.loads(line) for line in manifest.read_text().splitlines()]
+ missing=[r for r in rows if r['status']!='published']
+ if missing and not args.allow_partial:raise SystemExit(f'{len(missing)} images are not yet published. Use --allow-partial to download the available subset.')
+ args.output.mkdir(parents=True,exist_ok=True)
+ def sha(p):
+  with p.open('rb') as f:return hashlib.file_digest(f,'sha256').hexdigest()
+ def download(row):
+  target=args.output/row['sif_name']
+  if target.is_file() and sha(target)==row['sif_sha256']:return
+  staged=Path(hf_hub_download(args.repo,row['hf_path'],repo_type='dataset',revision=row['commit'],local_dir=args.output/'.downloads'))
+  if sha(staged)!=row['sif_sha256']:raise RuntimeError('Checksum mismatch: '+row['hf_path'])
+  os.replace(staged,target)
+  print(target.name,flush=True)
+ with ThreadPoolExecutor(args.workers) as pool:list(pool.map(download,[r for r in rows if r['status']=='published']))
+ print(f'Pool: {args.output.resolve()} ({len(rows)-len(missing)} images available; {len(missing)} pending)')
+ print('Set SWERL_APPTAINER_SIF_DIR to this directory.')
+if __name__=='__main__':main()

apptainer/manifest.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54e6191ae318bda2fceaad310206868a37d3453158f2765e6cb71f28eb1f6531
+size 16579678

apptainer/status.json

@@ -0,0 +1,5 @@
+{
+  "published": 0,
+  "total": 29501,
+  "covered_tasks": 0
+}