synduality/hospital
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资源简介：
# SmolDocling Hospital Privacy Synthetic Dataset Synthetic single-page "discharge summary" documents for evaluating privacy leakage in document vision-language models (SmolDocling) in a hospital setting. - 1000 train / 200 val / 200 test pages - Each page: scanned-like discharge summary with fixed tables (meds, labs) - Targets: DocTags markup describing structure and content - Canaries: `CANARY-...` tokens inserted only in a subset of train `patient_id` fields - Decoys: for each canary, ~1000 decoy strings used for exposure ranking **Intended use:** research on membership inference, canary exposure, and differentially private LoRA fine-tuning on document VLMs. **Note:** All data is synthetic; no real patient data is used.
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synduality
