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README.md
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---
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license: cc-by-nc-4.0
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task_categories:
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- image-to-text
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- visual-question-answering
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language:
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- en
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tags:
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- medical
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- dental
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- vision-language
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- intraoral
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size_categories:
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- 1K<n<10K
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---
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# DentBench-VL (extended)
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Persona-conditioned dental Vision-Language dataset for intraoral photographs.
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2,105 records across 15 canonical dental classes, six structured fields per
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record (diagnosis, severity, findings, recommendation, explanation, rationale).
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## Sources
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| Source | Records |
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|---|---|
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| dentbench_v1_single_clinic | 1,280 |
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| dentbench_v1_single_clinic_legacy | 175 |
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| external_dental_research | 650 |
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## Splits
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| Split | N |
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|---|---|
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| train | 1,755 |
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| valid | 148 |
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| test | 202 |
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## Files
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- `complete_annotations_clean_extended.json` — final merged corpus (2,105 records)
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- `manual_annotations.jsonl` — 650 external records with full
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Writer-Editor-Diagnoser provenance (annotation, blind diagnoser audit,
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resolution decision)
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## Annotation pipeline
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External images annotated through a Writer-Editor-Diagnoser pipeline:
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Writer drafts the six-field annotation conditioned on the source label,
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Editor enforces per-style length budgets, blind Diagnoser independently
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re-diagnoses from the image alone. Disagreements resolved through a
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confidence-based rule (308 of 326 disagreements resulted in a Diagnoser
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override, replacing source-dataset labels).
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## Citation
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DentForge: Persona-Conditioned Dental Vision-Language Reporting,
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BMVC 2026 (under review).
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