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39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
# Repository data
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Tracked data is organized by purpose:
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```text
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data/
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fixtures/
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provenance/ Real format and provenance fixtures used by tests
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calibration/
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<vendor>/ Minimal controlled inputs needed to rebuild detector assets
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synthid/
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originals/ Canonical provider-oracle fixtures, stored once
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manifest.csv Provenance and verification record for each original
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full-pipeline-quality.csv
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Reusable full-pipeline evaluation selection
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evaluations/
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fidelity/ Evaluation instructions and hand-verified ground truth
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```
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## Storage rules
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1. Store each binary image once. Evaluation manifests and documentation point
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to its canonical location.
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2. Put executable test fixtures in `fixtures/`.
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3. Put only the minimal reproducible detector inputs in `calibration/`.
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4. Put externally verified SynthID originals in `synthid/originals/` and keep
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both CSV files synchronized.
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5. Keep evaluation outputs outside the repository. Record reproducible
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commands, hashes, and oracle verdicts instead of committing another corpus
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copy. A small curated before-and-after example may live in `docs/images/`
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when it is part of the public documentation.
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6. Runtime detector assets belong in `src/remove_ai_watermarks/assets/`.
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Unregistered research candidates belong in
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`scripts/assets/visible-mark-candidates/` so they are not shipped in the
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wheel.
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The source distribution excludes `data/`; the wheel contains only package
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runtime assets.
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