Create README.md

README.md

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+---
+license: lgpl-2.1
+task_categories:
+- feature-extraction
+Author: Yiren Shen, Juan J. Alonso (c) 2026
+---
+# Double-Delta Multi-Fidelity Aerodynamics Dataset - Part 2/2
+
+## Dataset Summary
+
+This dataset provides an open-source **multi-fidelity aerodynamic benchmark** for a parametric family of **double-delta (cranked-delta) wings**, designed to support research in **data-driven surrogate modeling**, **multi-fidelity learning**, **parametric sensitivity studies and Uncertainty Quantification (UQ)** and **Physics AI models**.
+
+The dataset contains paired [**low-fidelity Vortex Lattice Method (VLM)**](https://suave.stanford.edu/) and [**high-fidelity Reynolds-Averaged Navier–Stokes (RANS CFD)**](https://su2code.github.io/) solutions over a shared multi-fidelity representation of geometry. 
+
+The test problem is relatively simple in geometry, but rich in flow features due to the vortical structures induced by delta wings at higher angle of attack. This dataset provides:
+- CFD: surface results.
+- CFD: volume results.
+- CFD: integrated FOIs (CL, CD, CM, CFx, ...)
+- VLM: induced pressure.
+
+
+This datasetis the overflow training set of double-delta aero dataset due to Huggingface's 1TB dataset limit. The main repo is at: yirens/double-delta-aero. This repo contains 4 zip files, all belongs to the trainingSet of the main repo.
+---
+
+## Supported Tasks
+
+- Aerodynamic **field prediction** 
+- **Multi-fidelity learning** (VLM → CFD correction)
+- Surface or volume Physics AI model development.
+- **Data-scaling and model-scaling law** studies
+- Variance-based sensitivity analysis (Sobol)
+- Surrogate modeling (DV → FOIs)
+
+---
+
+## Dataset Structure
+
+Each sample corresponds to a **geometry–flow-condition snapshot** and includes:
+
+### Geometry
+- Parametric **double-delta wing** defined by 6 design variables:
+  - Camber deflection angle (δ)
+  - Inboard leading-edge sweep (Λ_in)
+  - Outboard leading-edge sweep (Λ_out)
+  - Outboard trailing-edge sweep (Λ_te)
+  - Break-chord location (BW2)
+  - Wing span (B)
+### Flow Conditions
+- Mach number: **0.3**
+- Angle of attack: **11°–19°** (1° increments)
+### Low-Fidelity Data (VLM)
+- Panel-wise pressure coefficients
+- Lattice geometry and connectivity
+- Stored in **JSON** format
+### High-Fidelity Data (CFD)
+- RANS solutions using **SU2** with SA-R turbulence model
+- Surface and volume solutions in **VTK**
+- Convergence histories
+- Integrated aerodynamic coefficients (CL, CD, CM)
+---
+## Dataset Size
+- **272 unique geometries**
+- **9 angles of attack per geometry**
+- **2,448 total flow snapshots**
+- Nested training subsets enabling controlled scaling:
+  - Dataset sizes: **40, 80, 160, 320, 640, 1280** snapshots
+- Separate **holdout test set** of 16 geometries (80 snapshots)
+The nested structure ensures that increasing dataset size refines sampling density without repeating prior simulations.
+---
+## Design of Experiments (DOE)
+- Sampling method: [**Nested Saltelli (Sobol) sampling**](https://salib.readthedocs.io/en/latest/_modules/SALib/sample/saltelli.html)
+- Properties:
+  - Deterministic and reproducible
+  - Uniform space-filling
+  - Extendable without re-running prior simulations
+  - Supports Sobol sensitivity analysis and UQ
+---
+## Out-of-Scope Uses
+- Unsteady or massively separated flows
+- High-speed (compressible/transonic/supersonic) regimes
+- Shocks and shocks interactions
+- Production-level aerodynamic certification
+---
+## Data Format and Organization
+<pre>
+├── geometryDefinition/
+│   ├── designs_&lt;sampleLevels&gt;samples.csv   # design variable values for vehicle configurations
+│   └── wing_reference.csv                  # wing reference area and moment center
+├── holdoutSet/
+│   ├── &lt;vehicle_call_sign&gt;/
+│   │   ├── &lt;AOA&gt;degAOA/
+│   │   │   ├── config.cfg                  # SU2 configuration file
+│   │   │   ├── flow.vtu                    # volume solution
+│   │   │   ├── forces_breakdown.dat        # aerodynamic forces, integrated quantities
+│   │   │   ├── history.csv                 # SU2 convergence history
+│   │   │   └── surface_flow.vtu            # surface solution
+│   │   └── ...
+│   └── &lt;vehicle_call_sign&gt;.json            # VLM results at all AOAs
+├── trainingSet/
+│   └── ...                                 # same structure as holdoutSet
+</pre>
+## Note:
+Part of the dataset, due to HF dataset size limit, is in a seperate repo as yirens/double-delta-aero