Add task category and citation

README.md

@@ -1,20 +1,22 @@
 ---
-license: mit
 language:
 - en
+license: mit
+size_categories:
+- n<1K
+pretty_name: SpotSound-Bench
+task_categories:
+- audio-text-to-text
 tags:
 - audio
 - temporal-grounding
 - audio-language-modeling
-pretty_name: SpotSound-Bench
-size_categories:
-- n<1K
 ---
 
 # SpotSound-Bench: A 'Needle-in-a-Haystack' Evaluation for Audio Temporal Grounding
 
 [![Project Page](https://img.shields.io/badge/Project-Page-blue)](https://loiesun.github.io/spotsound/)
-[![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/LoieSun/spotsound)
+[![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/LoieSun/SpotSound)
 [![Paper](https://img.shields.io/badge/arXiv-Paper-red)](https://arxiv.org/abs/2604.13023)
 
 ## Benchmark Summary
@@ -34,10 +36,23 @@ This benchmark creates a rigorous **‘needle-in-a-haystack’** evaluation, dem
 
 ## Data Structure
 
-<pre>
+```json
 {
     "audio_path": "audio/-1q1otOq9TU_315_345.wav",
     "caption": "skidding",
     "gt": [[11.2, 20.3]]
 }
-</pre>
+```
+
+## Citation
+
+If you use this benchmark, please cite:
+
+```bibtex
+@inproceedings{sun2026spotsound,
+    title={SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding},
+    author={Sun, Luoyi and Zhou, Xiao and Li, Zeqian and Zhang, Ya and Wang, Yanking and Xie, Weidi},
+    journal={arXiv preprint arXiv:2604.13023},
+    year={2026}
+}
+```