# Release download and verification

The public dataset is
[sungguk/visual-answerability](https://huggingface.co/datasets/sungguk/visual-answerability).
The frozen release tag is `v1.0.0`; the internal cohort version remains
`answerability-v1.0.0-20260928`. The separate private training handoff is not
part of this public repository.

Download the complete release, including evidence and evaluation scripts:

```python
from huggingface_hub import HfApi, snapshot_download

repo_id = "sungguk/visual-answerability"
commit = HfApi(token=False).dataset_info(repo_id, revision="v1.0.0").sha
print("Release commit:", commit)
root = snapshot_download(repo_id, repo_type="dataset", revision=commit,
                         local_dir="hf-dataset", token=False)
```

Install `hf-dataset/requirements.txt`, then follow `EVALUATION.md` to verify
the frozen manifest, decode and hash the 9,000 embedded images, check all
1,000 bounded chart proofs, and replay the reported numerical results.
Write validation outputs and reconstructed GQA data outside `hf-dataset`.
`MANIFEST.json` records SHA-256 digests of all release files except itself.

The public release changes only publication documentation and metadata from
the verified local preparation candidate. Upstream GQA questions, full
programs, graphs and photographs are excluded. Obtain the official inputs
and follow `RECONSTRUCTION.md` for that configuration.

Maintainer checks before assigning the release tag include an anonymous
download of every file, exact file-set and digest comparison against the
manifest, and loading all three configurations from the Hub commit. Viewer
processing is checked separately. Future data changes require a new version;
the `v1.0.0` tag must continue to identify this verified snapshot.