diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..674440c3d6dc99105f72b32f095dc84add7f0830 --- /dev/null +++ b/README.md @@ -0,0 +1,98 @@ +--- +pretty_name: SafeOCR-LabGold +license: apache-2.0 +language: +- en +size_categories: +- n<1K +tags: +- clinical-ocr +- healthcare +- synthetic +- verification +- fhir +- benchmark +--- + +# SafeOCR-LabGold + +**SafeOCR-LabGold** is the synthetic laboratory-report benchmark used to develop and evaluate the frozen SafeOCR v0.1 verification policy. + +## Dataset summary + +The complete frozen split contains: + +| Split | Synthetic records | Rendered documents | Critical fields | +|---|---:|---:|---:| +| Calibration | 12 | 24 | 144 | +| Final evaluation | 24 | 48 | 288 | +| Total | 36 | 72 | 432 | + +Each synthetic record is rendered as a clean document and a deterministic corrupted counterpart. Three controlled templates are used: `classic`, `compact`, and `grid`. Every document contains six laboratory fields. + +The paper reports the **48-document / 288-critical-field final evaluation split**. + +## Intended use + +Use SafeOCR-LabGold for: + +- deterministic clinical-OCR verification research; +- regression tests for evidence binding and selective-decision policies; +- reproducible demonstrations of review/abstention behavior; +- studying automation-versus-review trade-offs under the frozen v0.1 benchmark. + +Do **not** use this dataset as evidence of real-world clinical deployment performance. It is synthetic and does not represent the full distribution of real laboratory reports. + +## Frozen result boundary + +In the final evaluation split, the primary OCR baseline produced 0/288 observed errors. SafeOCR accepted 209/288 fields with 0/209 observed errors and routed 79 correct fields to review. Because the ungated baseline also had zero observed errors, this benchmark does **not** establish a safety benefit from gating. + +## Data generation and byte-level reproducibility + +The benchmark generator is deterministic for a fixed renderer stack: + +```bash +python scripts/prepare_hf_labgold.py --output dist/SafeOCR-LabGold +``` + +The canonical Hugging Face v0.1 publication package is bound by: + +- `manifest_sha256 = 3a3fcdf1e3e045c0b6f8b334457d1e22dbd247a6a556e08235f808143abf5cec`; +- Python 3.12.13; +- Pillow 12.3.0; +- FreeType 2.14.3; +- JPEG feature version 8.0; +- zlib 1.3.1.zlib-ng; +- platform `win32:AMD64`. + +SafeOCR's corruption pipeline includes a JPEG round-trip. Pillow can therefore produce different corrupted PNG bytes when its underlying JPEG implementation differs across platforms even when the frozen seeds, case identities, layouts, and policy are unchanged. A package whose manifest hash differs from the canonical value above must not be presented as the byte-identical v0.1 publication artifact. For exact reproduction of the released benchmark, use the published Hugging Face artifacts or a matching renderer stack. + +This renderer dependency does not change the frozen evaluation results or claim boundaries; it is a byte-level reproducibility constraint on regenerated corrupted images. + +The generator records exact case identity, template, source seed, corruption seed, document hash, page hash, image filename, and truth-region metadata. It also writes Hugging Face `ImageFolder` metadata through `metadata.jsonl` with a `file_name` field so images and metadata can be loaded together. + +## Privacy + +All records are synthetic. Synthetic patient names and identifiers are generated by SafeOCR; no real patient data are used. + +## Repository and demo + +- Code and frozen evidence: https://github.com/AbdulazizShehri/SafeOCR +- Interactive verification playground: https://huggingface.co/spaces/MedScaleAI/SafeOCR +- Paper: arXiv identifier will be added at publication + +## Dataset contents + +The published repository contains: + +- `images/*.png`: deterministic synthetic laboratory report pages; +- `metadata.jsonl`: Hugging Face `ImageFolder` metadata keyed by `file_name`; +- `manifest.jsonl`: byte-identical audit manifest for the frozen release; +- `dataset_info.json`: release counts and SHA-256 identities; +- `README.md`: this dataset card. + +External datasets used in the paper are not redistributed here. + +## License + +The SafeOCR project and generated SafeOCR-LabGold artifacts are released under Apache-2.0 where applicable. Third-party datasets used in the paper retain their own terms and are **not** included in this Hugging Face dataset. diff --git a/dataset_info.json b/dataset_info.json new file mode 100644 index 0000000000000000000000000000000000000000..77afd5cc857232d709ae9a66dd88a5d7c9a5a7ed --- /dev/null +++ b/dataset_info.json @@ -0,0 +1,10 @@ +{ + "calibration_documents": 24, + "case_count": 72, + "critical_fields_per_document": 6, + "evaluation_documents": 48, + "manifest_sha256": "3a3fcdf1e3e045c0b6f8b334457d1e22dbd247a6a556e08235f808143abf5cec", + "metadata_sha256": "3a3fcdf1e3e045c0b6f8b334457d1e22dbd247a6a556e08235f808143abf5cec", + "readme_sha256": "c93570fc981740eb09617b0f93a5436f22a8694b411ad5587f44acc947516a23", + "schema_version": 1 +} diff --git a/images/labgold-calibration-000101-classic-clean.png b/images/labgold-calibration-000101-classic-clean.png new file mode 100644 index 0000000000000000000000000000000000000000..3675d58436ea1bfa947929ff746f29fd21c1246b --- /dev/null +++ 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