| --- |
| license: other |
| tags: |
| - terminal-agent |
| - reinforcement-learning |
| - apptainer |
| --- |
| |
| # tmax image pool |
|
|
| Every Apptainer/SIF image referenced by the three `swerl-tmax-15k` variants, stored once |
| and shared between them. |
|
|
| ## Read the layout from the repo, not from a prefix |
|
|
| **The plain images are split across four directories, not one.** A consumer that filters |
| on `images/` silently gets 4,519 fewer files and then reports itself complete — the |
| tasks that reference the missing blobs fail later, at sandbox start, one by one. |
|
|
| | directory | files | |
| |---|---:| |
| | `images/` | 9,971 | |
| | `images_b00/` | 1,933 | |
| | `images_b01/` | 2,000 | |
| | `images_b02/` | 586 | |
| | **plain, total** | **14,490** | |
| | `derived/` | 1,713 | |
| | **total SIFs** | **16,203** | |
|
|
| The batching exists only because HuggingFace enforces a hard limit of 10,000 files per |
| directory at push time; `images_b00..b02` are continuations of `images/` with no other |
| meaning. More batches may be added, so **enumerate whatever directories exist** rather |
| than hard-coding this list. |
|
|
| Resolve paths through `task_to_blob.json` instead of guessing — it already carries the |
| correct directory for every task. |
|
|
| ## `task_to_blob.json` |
|
|
| Keyed by variant, then by task id, valued by the blob path within this repo: |
|
|
| ```json |
| { |
| "original": {"task_000868_f0470dff": "images_b00/hamishi740__swerl-tmax-v3__17c682d5c609.sif", ...}, |
| "hardened_prefilter": {...}, |
| "solvable": {...} |
| } |
| ``` |
|
|
| | variant | tasks | unresolvable | |
| |---|---:|---:| |
| | `original` — [`hamishivi/swerl-tmax-15k`](https://huggingface.co/datasets/hamishivi/swerl-tmax-15k) | 14,601 | 0 | |
| | `hardened_prefilter` — [`wAI-org/swerl-tmax-15k-hardened-prefilter`](https://huggingface.co/datasets/wAI-org/swerl-tmax-15k-hardened-prefilter) | 13,565 | 0 | |
| | `solvable` — [`wAI-org/swerl-tmax-15k-solvable-gpt-5-6-terra`](https://huggingface.co/datasets/wAI-org/swerl-tmax-15k-solvable-gpt-5-6-terra) | 7,015 | 0 | |
|
|
| Tasks outnumber blobs because distinct tasks share an image. |
|
|
| ## Plain vs derived |
|
|
| `images*/` are the registry images unchanged — a fresh `apptainer pull` of the original |
| reference is byte-identical to the stored SIF. |
|
|
| `derived/` are single-step derivations used by the hardened variants: an oracle file |
| removed, and/or the dependency the verifier imports installed, with per-task pinned |
| versions. A task in a hardened variant may map to either kind, so do not assume a |
| variant uses only one directory. |
|
|
| ## Using it |
|
|
| ```python |
| import json |
| from huggingface_hub import hf_hub_download, snapshot_download |
| |
| m = json.load(open(hf_hub_download("wAI-org/tmax-image-pool", "task_to_blob.json", |
| repo_type="dataset"))) |
| blobs = sorted(set(m["solvable"].values())) # only what this variant needs |
| snapshot_download("wAI-org/tmax-image-pool", repo_type="dataset", |
| allow_patterns=blobs, local_dir="sifs/") |
| ``` |
|
|
| Then point each row's `env_config.image` at the absolute local `.sif` path; |
| `prefer_local_sif()` passes an absolute path straight through with no registry lookup. |
|
|
| Fetching only one variant's blobs is much cheaper than the whole pool — `solvable` needs |
| 6,968 of the 16,203. |
|
|
| ## Verifying what you fetched |
|
|
| Check `apptainer inspect` on each distinct SIF a variant references. Size and hash |
| agreement is not sufficient: SIFs have been seen to match both and still not be valid |
| squashfs. Count coverage per variant against `task_to_blob.json` rather than trusting a |
| fetcher's own "done". |
|
|
