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README.md

@@ -31,6 +31,10 @@ default: true
 
 Parameterized U-bend CFD dataset for surrogate modeling and scientific machine learning.
 
+![Sample overview](overview.png)
+
+*Five randomly selected samples showing the geometry and the solution fields (velocity magnitude, pressure, temperature, turbulent kinetic energy, turbulent viscosity).*
+
 ## Dataset Description
 
 This dataset contains **~9,000 conjugate heat transfer simulations** of a parameterized U-bend cooling channel, generated with OpenFOAM (`chtMultiRegionSimpleFoam`). Each sample represents a unique channel geometry defined by 28 design parameters, with corresponding flow and temperature solution fields.
@@ -172,6 +176,16 @@ ds = UBendFieldDataset("fields/")
 loader = DataLoader(ds, batch_size=16, shuffle=True, num_workers=4)
 ```
 
+### Visualization
+
+A ready-to-use visualization script ([`visualize_sample.py`](visualize_sample.py)) is included. It downloads N random samples from the hub and renders the geometry and all solution fields as PNGs:
+
+```bash
+python visualize_sample.py --n 5
+```
+
+This produces individual plots per sample plus an `overview.png` (as shown above).
+
 ## Version History
 
 This is an updated version of the original U-bend dataset with improved mesh quality (mesh convergence study), corrected Sobol sampling, and additional output fields (mean/std of targets, solution fields in safetensors format). The underlying geometry parameterization and simulation setup remain the same.