CISR24 / docs /PUBLIC_RELEASE.md
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# Public release procedure
## Repository versus data host
Use GitHub for source code, documentation, schemas, class mappings, checksums,
small examples, and download instructions. The full dataset is hosted at
<https://huggingface.co/datasets/okra123/CISR24>. The training HDF5 is larger
than 4 GiB and must not be committed to Git or used as a normal GitHub Release
asset.
Recommended public repository contents:
```text
CISR24/
README.md
DATA_CARD.md
LICENSE-CODE
LICENSE-DATA
CITATION.cff
CHANGELOG.md
classes.csv
docs/DATASET_SPEC.md
docs/PAPER_ALIGNMENT.md
docs/GENERATION_ALGORITHM.md
docs/REPRODUCIBILITY.md
docs/SCHEMA.md
docs/SHORTCUT_AUDIT.md
matlab/
loaders/
smoke_v1/
tools/
release/v1.1.1/files.csv
release/v1.1.1/SHA256SUMS
```
Recommended hosted data contents:
```text
CISR24/
hdf5/cisr24_train.h5
hdf5/cisr24_val.h5
hdf5/cisr24_test.h5
manifests/cisr24_train_manifest.csv.gz
manifests/cisr24_val_manifest.csv.gz
manifests/cisr24_test_manifest.csv.gz
audit/
provenance/
classes.csv
label_names.txt
audit/release_meta.json
files.csv
SHA256SUMS
```
## Release gate
Do not upload until all of the following are complete:
- generate the full dataset with the canonical CISR24 generator;
- verify 705,600 unique seeds and disjoint split seed sets;
- verify every class and SNR cell count;
- scan all I/Q values for finiteness and exact `[N,2,1024]` float32 schema;
- verify every manifest row against its HDF5 row;
- audit effective SNR across all classes, SNR levels, and splits, with
per-class noise-power gates and pooled active-power checks;
- run shortcut audits and record thresholds/results;
- generate per-file SHA-256 checksums;
- reproduce the loader quickstart in a clean environment;
- select data/code licenses and confirm citation authors and DOI;
- create a clean Git commit and record it in release metadata.
The finalized Hugging Face revision is registered as
[DOI 10.57967/hf/9724](https://doi.org/10.57967/hf/9724), and the matching source
release is tagged as
[v1.1.1](https://github.com/chaser1780/CISR24/releases/tag/v1.1.1). The attached
paper PDF is the source of truth for this alignment and is not modified by this
release workflow. Do not cite only a mutable branch URL.