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README.md

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+---
+license: mit
+task_categories:
+- visual-question-answering
+tags:
+- medical-imaging
+- vision-language-models
+- ct
+- hallucination
+- benchmark
+pretty_name: Priors Over Pixels — Result Data
+---
+
+# Priors Over Pixels — Result Data
+
+Per-model result JSONs for the MICCAI 2026 **SAFER** workshop paper
+*"Priors Over Pixels: Present-Bias in Organ-Presence Grounding for Medical VLMs."*
+
+These are the raw model verdicts behind every table in the paper — a POPE-style
+organ-presence probe on BTCV abdominal CT, testing whether medical VLMs ground
+their answers in pixels or recite anatomical priors.
+
+- **Code / reproduction:** https://github.com/MR-Nazarov/priors-over-pixels
+- **Models probed:** MedGemma-4B/27B, Gemma3-4B/27B (base ablation), Qwen2.5-VL-7B, LLaVA-Med
+
+## Files
+
+| file | contents |
+|---|---|
+| `pope_results.json` | MedGemma-27B (main run) |
+| `pope_results_medgemma4b.json` | MedGemma-4B |
+| `pope_results_qwen.json` | Qwen2.5-VL-7B |
+| `pope_results_llavamed.json` | LLaVA-Med |
+| `gemma3_4b_pope.json` / `gemma3_27b_pope.json` | base-Gemma3 ablation |
+| `pope_summary_allmodels.json`, `pope_abstention.json`, `adv_zdist_*.json`, `pope_noimg_summary.json` | derived summaries |
+
+## Schema
+
+Each file is `{"records": [...]}`; a record is one `(sample_id, organ, format)`
+verdict:
+
+```json
+{
+  "sample_id": "img0023_z070_prior_consistent_pancreas",
+  "organ": "gallbladder",
+  "neg_strategy": "adversarial",
+  "ground_truth_present": false,
+  "parsed_present": true,
+  "parse_fail": false,
+  "format": "freetext",
+  "raw": "gallbladder, left kidney, pancreas"
+}
+```
+
+## Usage
+
+```
+hf download Lexer1/priors-over-pixels-data --repo-type dataset --local-dir .
+# then run the analysis scripts from the code repo
+```
+
+## License
+
+MIT. Contains model outputs and derived statistics over public BTCV case
+identifiers — no patient data. BTCV itself is not redistributed here.