chore: update README

README.md

@@ -12,17 +12,24 @@ size_categories:
 
 # SpatialRGPT-Bench-Extended
 
-**SpatialRGPT-Bench-Extended** is an extension of [SpatialRGPT-Bench](https://huggingface.co/datasets/a8cheng/SpatialRGPT-Bench) that incorporates driving scene images from Japan. It augments object-centric QA (questions about two objects within an image) with ego-centric QA (questions about the relationship between the ego and a single object in the image). Each QA category contains 466 QA pairs. For further details, please refer to our paper: [STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes](https://arxiv.org/abs/2508.10427).
+[![AAAI 2026](https://img.shields.io/badge/AAAI%202026-Oral-red)](https://arxiv.org/abs/2508.10427)
+[![Project Page](https://img.shields.io/badge/Project-Page-blue)](https://turingmotors.github.io/stride-qa/)
+[![GitHub](https://img.shields.io/badge/GitHub-Code-black?logo=github)](https://github.com/turingmotors/STRIDE-QA-Dataset)
+[![Dataset](https://img.shields.io/badge/🤗%20HuggingFace-Dataset-yellow)](https://huggingface.co/datasets/turing-motors/STRIDE-QA-Dataset)
+[![Benchmark](https://img.shields.io/badge/🤗%20HuggingFace-Benchmark-yellow)](https://huggingface.co/datasets/turing-motors/STRIDE-QA-Bench)
 
-## 🔗 Related Links
+**SpatialRGPT-Bench-Extended** is an extension of [SpatialRGPT-Bench](https://huggingface.co/datasets/a8cheng/SpatialRGPT-Bench) that incorporates driving scene images from Japan. It augments object-centric QA (questions about two objects within an image) with ego-centric QA (questions about the relationship between the ego and a single object in the image). Each QA category contains 466 QA pairs. For further details, please refer to our paper: <https://arxiv.org/abs/2508.10427>.
 
-- **Paper**: [arXiv:2508.10427](https://arxiv.org/abs/2508.10427)
-- **GitHub**: [turingmotors/STRIDE-QA-Dataset](https://github.com/turingmotors/STRIDE-QA-Dataset)
+## 🔗 Related Links
 
+- Project Page: <https://turingmotors.github.io/stride-qa>
+- GitHub: <https://github.com/turingmotors/STRIDE-QA-Dataset>
+- STRIDE-QA-Dataset: <https://huggingface.co/datasets/turing-motors/STRIDE-QA-Dataset>
+- STRIDE-QA-Bench: <https://huggingface.co/datasets/turing-motors/STRIDE-QA-Bench>
 
 ## 📚 Citation
 
-```
+```bibxtex
 @article{cheng2024spatialrgpt,
   title={Spatialrgpt: Grounded spatial reasoning in vision-language models},
   author={Cheng, An-Chieh and Yin, Hongxu and Fu, Yang and Guo, Qiushan and Yang, Ruihan and Kautz, Jan and Wang, Xiaolong and Liu, Sifei},
@@ -59,4 +66,4 @@ We would like to acknowledge the use of the following open-source repositories:
 
 ## 🔏 Privacy Protection
 
-To ensure privacy protection, human faces and license plates in the images were anonymized using the [Dashcam Anonymizer](https://github.com/varungupta31/dashcam_anonymizer).
+To ensure privacy protection, human faces and license plates in the images were anonymized using the [Dashcam Anonymizer](https://github.com/varungupta31/dashcam_anonymizer).