Add MedPhyGraph procedural dataset metadata

README.md

@@ -1,3 +1,173 @@
----
-license: cc-by-4.0
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+---
+license: cc-by-4.0
+tags:
+  - digital-twins
+  - scene-graphs
+  - healthcare
+  - structured-scene-states
+  - reproducibility
+  - procedural
+---
+
+# MedPhyGraph — Procedural Support-Graph Data
+
+**MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins**
+
+| Resource | Link |
+|----------|------|
+| **Project Website** | https://medphygraph.github.io/ |
+| **Model (CF-SupportNet)** | https://huggingface.co/MedPhyGraph/CF-SupportNet |
+| **Paper** | \<PAPER_URL\> |
+| **Code** | \<GITHUB_URL\> |
+
+## Dataset description
+
+This repository contains structured procedural training and evaluation data used in
+the MedPhyGraph paper. It supports the paper's method contribution and is not
+presented as a standalone benchmark contribution.
+
+All redistributed artifacts are **MedPhyGraph-owned procedural structured JSON**.
+No NVIDIA Isaac Sim / Isaac for Healthcare assets, USD binaries, meshes, textures,
+or Isaac-derived structured scene files are included.
+
+This repository contains the **Procedural subset (136 of 217 cases)** of the
+expanded transfer suite. The paper additionally reports **81 Isaac for Healthcare
+cases**, which are **not redistributed here**.
+
+### Paper evaluation vs. this public release
+
+| Suite | Paper (reported) | This repository |
+|-------|------------------|-----------------|
+| Expanded support-transfer cases | **217** total | **136** procedural only |
+| Procedural transfers | 136 | **136** |
+| Isaac for Healthcare transfers | 81 | **0** (excluded) |
+
+The public expanded-transfer subset is **`expanded_transfer_procedural_v1/`**.
+It is **not** the complete 217-case paper suite.
+
+## Components
+
+### 1. `training_data/`
+
+Paper-frozen CF-SupportNet training/evaluation feature dataset (`dataset_hard`).
+
+| File | Description |
+|------|-------------|
+| `dataset.json` | 533 analytic counterfactual edge samples |
+| `split.json` | Scene-level train/val/test split (324 / 101 / 108 samples) |
+
+**Provenance:** Generated from procedurally authored `hard_000`–`hard_019` scenes via
+`hard_scenes.py` and `generate_counterfactual_dataset.py`. No Isaac-derived scenes.
+
+### 2. `procedural_scenes/`
+
+Structured **Procedural** evaluation states (TwinWorld Phase-2 dynamic corpus).
+
+| Property | Value |
+|----------|-------|
+| `scene.json` directories | 54 |
+| Geometry | Procedural AABB proxies (`proxy://aabb/...`) |
+
+### 3. `expanded_transfer_procedural_v1/`
+
+Public procedural subset of the paper's expanded transfer evaluation suite.
+
+| Path | Description |
+|------|-------------|
+| `predeclared_manifest.json` | Eligibility manifest (procedural cases only) |
+| `targets.json` | Ground-truth targets (**136** procedural cases) |
+| `scenes/procedural/` | Authored structured scene states for each case |
+
+## NVIDIA Isaac for Healthcare: reproduction scope
+
+This release distinguishes between the fully public Procedural evaluation and
+the Isaac for Healthcare evaluation, which depends on separately licensed
+NVIDIA software and assets.
+
+### 1. Procedural experiments — fully reproducible
+
+The procedural training data, frozen train/validation/test split, structured
+procedural scenes, CF-SupportNet checkpoints, and the Procedural subset of the
+expanded transfer evaluation are publicly released.
+
+The public expanded-transfer subset contains 136 Procedural cases. These
+artifacts support end-to-end reproduction of the released Procedural
+experiments.
+
+### 2. Isaac for Healthcare — NVIDIA software and assets are required
+
+The MedPhyGraph paper also reports experiments in NVIDIA Isaac for Healthcare
+environments.
+
+NVIDIA Isaac for Healthcare assets, USD/USDA/USDC files, meshes, textures, and
+Isaac-derived structured scene states are not redistributed in this release.
+
+Users interested in running MedPhyGraph with Isaac for Healthcare must obtain
+the required NVIDIA Isaac Sim / Isaac for Healthcare software and assets
+directly from NVIDIA under the applicable NVIDIA license terms.
+
+The public MedPhyGraph codebase contains relevant components for working with
+locally installed Isaac environments, but the complete paper-frozen Isaac scene
+generation workflow is not currently packaged as a standalone end-to-end public pipeline.
+
+### 3. Scope of the paper-frozen Isaac evaluation
+
+The paper's expanded transfer evaluation contains 217 cases in total:
+
+- 136 Procedural cases
+- 81 Isaac for Healthcare cases
+
+This repository redistributes the 136 Procedural cases only. The 81 Isaac cases
+and their corresponding structured scene states are not included.
+
+Accordingly, the exact Isaac results reported in the paper should not be
+expected to be reproducible from the currently released public artifacts alone.
+Reconstructing that portion requires the appropriate NVIDIA software and assets
+as well as additional MedPhyGraph generation tooling.
+
+This limitation does not affect reproduction of the publicly released
+Procedural experiments.
+
+## Expected layout after download
+
+Mirror paths relative to the MedPhyGraph code repository:
+
+```
+outputs/dyphygraph_health/dataset_hard/              # from training_data/
+outputs/dyphygraph_health/scenes_twinworld_phase2/   # from procedural_scenes/
+outputs/reviewer_response/expanded_transfer_procedural_v1/
+```
+
+## Integrity
+
+- `SHA256SUMS.txt` — per-file SHA256 digests
+- `MANIFEST.json` — public metadata index (relative paths only)
+
+## Not included
+
+| Artifact | Reason |
+|----------|--------|
+| `scenes_twinworld_i4h_dynamic/` | Isaac-derived structured states — not redistributed |
+| Isaac expanded-transfer cases (81) | Isaac-derived — excluded from public subset |
+| NVIDIA / i4h USD assets | Third-party license |
+| Canonical rebuild `outputs/medphygraph/` | Different research track |
+
+## Citation
+
+```bibtex
+@inproceedings{gholizadeh2026medphygraph,
+  title={MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
+  author={Gholizadeh HamlAbadi, Kamran and Vahdati, Monica and El Saddik, Abdulmotaleb},
+  booktitle={ECCV 2026 TwinWorld Workshop},
+  year={2026}
+}
+```
+
+## License
+
+This dataset is released under the **Creative Commons Attribution 4.0 International
+License (CC BY 4.0)**. See the `LICENSE` file in the MedPhyGraph code repository
+or https://creativecommons.org/licenses/by/4.0/.
+
+Third-party NVIDIA Isaac for Healthcare assets are **not** included and are **not**
+covered by this license.