support-graph-data / README.md
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Add MedPhyGraph procedural dataset metadata
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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.