ecosystem: publish suspect-zones benchmark corpus as a HuggingFace dataset

[devswha]

Why it matters

README headlines (91% / 76% / 13–25%) are unverifiable without the corpus. Publishing as HF dataset is the NLP-research reproducibility move and the prerequisite for a citation / arXiv paper.

Acceptance criteria

• huggingface.co/datasets/devswha/patina-suspect-zones with current tests/fixtures/suspect-zones/ contents
• Data card: per-source licensing, language coverage, how 91/76 were computed, known biases
• CI step (manual trigger ok for v1) re-uploads on tagged release
• Cross-linked from README, FAQ, research notes, latest.md
• Licensing gate: review each fixture for redistribution rights before upload

[devswha]

Wave 4 triage: this stays open.

Concrete blocker: a HuggingFace dataset publication needs corpus governance first: licensing/PII audit, dataset-card contents, split/schema decisions, and CI/publish ownership. The campaign did not have a vetted publishable corpus to upload.