Update dataset card: Add metadata, fix paper link, remove empty example usage

README.md

@@ -1,10 +1,19 @@
 ---
 license: cc-by-nc-4.0
+task_categories:
+- other
+tags:
+- computational-fluid-dynamics
+- aerodynamics
+- simulation
+- physics
+- neural-surrogates
+- transonic
 ---
 
 ## Emmi-Wing Dataset
 
-This repository contains the dataset proposed in [Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes](), presented at the Workshop on ML for the Physical Sciences at NeurIPS 2025.
+This repository contains the dataset proposed in [Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes](https://huggingface.co/papers/2511.21474), presented at the Workshop on ML for the Physical Sciences at NeurIPS 2025.
 
 This repository contains a subset of the parameter scans that we used for evaluating our best surrogate model [AB-UPT](https://arxiv.org/abs/2502.09692).
 In total there are 70 cases compressed in the `scans_reduced.zip` file which contains a directory for each case according to the following structure:
@@ -33,10 +42,6 @@ As mentioned in the paper, we used our best neural surrogate for quality control
 
 Please note that we attached this file to raise awareness, but they do not significantly impair the performance of neural surrogates trained on those cases. In fact, all surrogate models trained in the paper used this data during training and we found that the trained surrogates usually smooth out thos artifacts hence making them suitable as anomaly detectors. For more infos, please check out the paper.
 
-## Example usage
-
-We provide a [Github repository]() including basic scripts to illustrate dataloading and visualization to further facilitate training of neural surrogates on our data.
-
 ## Citation
 
 If you find our work useful or use our dataset, please consider citing it