Datasets:

HindsboNikolaj
/

scope-benchmark

@@ -27,8 +27,15 @@ configs:
 # SCOPE Benchmark
 **Evaluation benchmark** for the HRI '26 paper [*SCOPE: A Real-Time Natural Language Camera Agent at the Edge*](https://doi.org/10.1145/3757279.3785641) ([arXiv:2606.02951](https://arxiv.org/abs/2606.02951)). Test-only — no train split. 541 questions × 4 Blender scenes × 8 task categories.
 > When you chain a language model and a vision model together, how do you know which one failed?
 ## Contents

 # SCOPE Benchmark
+[![Code on GitHub](https://img.shields.io/badge/Code-GitHub-181717?logo=github)](https://github.com/HindsboNikolaj/SCOPE)
+[![Paper](https://img.shields.io/badge/Paper-HRI%20'26-blue)](https://doi.org/10.1145/3757279.3785641)
+[![arXiv](https://img.shields.io/badge/arXiv-2606.02951-b31b1b?logo=arxiv)](https://arxiv.org/abs/2606.02951)
+[![Space](https://img.shields.io/badge/Space-HuggingFace-yellow?logo=huggingface)](https://huggingface.co/spaces/HindsboNikolaj/scope)
 **Evaluation benchmark** for the HRI '26 paper [*SCOPE: A Real-Time Natural Language Camera Agent at the Edge*](https://doi.org/10.1145/3757279.3785641) ([arXiv:2606.02951](https://arxiv.org/abs/2606.02951)). Test-only — no train split. 541 questions × 4 Blender scenes × 8 task categories.
+The code that runs this benchmark lives at **[github.com/HindsboNikolaj/SCOPE](https://github.com/HindsboNikolaj/SCOPE)**.
 > When you chain a language model and a vision model together, how do you know which one failed?
 ## Contents