Per Dataset Breakdown

TODO:

• [ ] Add page-specific notes for model-evaluation/offline-evaluation/per-dataset-breakdown.md after inspecting the real project files.
• [ ] Cross-link Per Dataset Breakdown to the most relevant code, data, testing, and safety pages.
• [ ] Define the metric or field result in one precise sentence.
• [ ] List the script, command, or notebook that produces this result.
• [ ] List the exact dataset split, label file, and model versions being compared.
• [ ] Mark whether results are current or historical.
• [ ] Add units, thresholds, and interpretation rules.
• [ ] Add how this result can disagree with real field behavior.
• [ ] Add the retest checklist needed after labels or runtime code changes.
• [ ] Add exact evaluation script or command before adding any numbers.
• [ ] Mark results historical if labels changed after the metric was produced.
• [ ] List model file path, version, preprocessing path, output scale, and known field behavior.
• [ ] Add current vs historical metrics once retesting is complete.
• [ ] List dataset tag, image count, label count, source, and purpose.
• [ ] Add how to verify filenames, annotations, and correction labels match.