Improve dataset card: Add task categories, library, and tags; link project page and paper (#2)

- Improve dataset card: Add task categories, library, and tags; link project page and paper (91cbb1c9a05400a714199f5ebced1ee050c71b43)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -2,16 +2,25 @@
 license: mit
 task_categories:
 - image-segmentation
+- image-to-3d
 pretty_name: nespof
+library_name:
+- nerfstudio
+tags:
+- nerf
+- hyperspectral
+- material-segmentation
+- 3d
+- robotics
+- augmented-reality
+- simulation
 ---
 
-
 # Extended NeSpoF Dataset
 
-<div align="center">
-  <img src="https://i.imgur.com/D3SaEU8.png" alt="UnMix-NeRF Overview" width="40%">
+![UnMix-NeRF Overview](https://i.imgur.com/D3SaEU8.png)
 
-  <div align="center">
+<div align="center">
 
 **[Fabian Perez](https://github.com/Factral)¹² · [Sara Rojas](https://sararoma95.github.io/sr/)² · [Carlos Hinojosa](https://carloshinojosa.me/)² · [Hoover Rueda-Chacón](http://hfarueda.com/)¹ · [Bernard Ghanem](https://www.bernardghanem.com/)²**
 
@@ -19,16 +28,18 @@ pretty_name: nespof
 
 </div>
 
-This dataset is an extension of the NeSpoF dataset, enriched with ground-truth material labels for evaluating material segmentation in synthetic multi-view settings. The annotations provide consistent material labeling across different viewpoints for comprehensive scene analysis.
+## Introduction
 
-</div>
+This dataset is an extension of the NeSpoF dataset, enriched with ground-truth material labels for evaluating material segmentation in synthetic multi-view settings. The annotations provide consistent material labeling across different viewpoints for comprehensive scene analysis.
 
+It is used in conjunction with **UnMix-NeRF**, a framework presented in the paper [UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields](https://huggingface.co/papers/2506.21884). UnMix-NeRF integrates spectral unmixing into Neural Radiance Fields (NeRF), enabling joint hyperspectral novel view synthesis and unsupervised material segmentation.
 
 ### Dataset Sources
 
-* **Github:** [Official Code](https://github.com/Factral/UnMix-NeRF)
-* **Paper:** [UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields (ICCV 2025)](https://arxiv.org/pdf/2506.21884)
-* **Repository:** [Original NeSpoF Repository](https://github.com/youngchan-k/nespof)
+*   **Github:** [Official Code](https://github.com/Factral/UnMix-NeRF)
+*   **Paper:** [UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields (ICCV 2025)](https://arxiv.org/pdf/2506.21884)
+*   **Project Page:** [UnMix-NeRF Project Page](https://www.factral.co/UnMix-NeRF)
+*   **Repository:** [Original NeSpoF Repository](https://github.com/youngchan-k/nespof)
 
 
 ## Direct Use
@@ -95,4 +106,4 @@ If you use this dataset, please cite the following paper:
 
 ## Dataset Card Contact
 
-For inquiries regarding the dataset, please contact the corresponding authors listed in the referenced paper.
+For inquiries regarding the dataset, please contact the corresponding authors listed in the referenced paper.