Update Edit3D-Bench dataset card with correct license, paper, project page, and code links (#2)

- Update Edit3D-Bench dataset card with correct license, paper, project page, and code links (72eeb12ed2d8e65594251b5a426b002ff89134e3)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,18 +1,20 @@
 ---
-license: apache-2.0
 language:
 - en
-tags:
-- 3D-Generation
-- 3D-Edit
+license: mit
 task_categories:
 - image-to-3d
 - text-to-3d
+tags:
+- 3D-Generation
+- 3D-Edit
 ---
 
 # Edit3D-Bench
 
-**Edit3D-Bench** is a benchmark for 3D editing evaluation.
+[Paper](https://huggingface.co/papers/2508.19247) | [Project Page](https://huanngzh.github.io/VoxHammer-Page/) | [Code](https://github.com/Nelipot-Lee/VoxHammer)
+
+**Edit3D-Bench** is a benchmark for 3D editing evaluation, introduced in the paper [VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space](https://huggingface.co/papers/2508.19247).
 This dataset comprises 100 high-quality 3D models, with 50 selected from Google Scanned Objects (GSO) and 50 from PartObjaverse-Tiny.
 For each model, we provide 3 distinct editing prompts. Each prompt is accompanied by a complete set of annotated 3D assets, including
 * original 3D asset with rendered images
@@ -87,11 +89,12 @@ Check details in [our github repo](https://github.com/Nelipot-Lee/VoxHammer/Edit
 
 ## 🧷 Citation
 
-```Bash
+```bibtex
 @article{li2025voxhammer,
   title = {VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space},
   author = {Li, Lin and Huang, Zehuan and Feng, Haoran and Zhuang, Gengxiong and Chen, Rui and Guo, Chunchao and Sheng, Lu},
   journal = {arXiv preprint arXiv:2508.19247},
-  year = {2025}
+  year = {2025},
+  url = {https://huggingface.co/papers/2508.19247}
 }
 ```