Update README.md

README.md

@@ -15,10 +15,16 @@ language:
 
 **A High-Quality Benchmark for Music Structure Analysis**
 
-[![Dataset](https://img.shields.io/badge/🤗%20Dataset-SongFormBench-blue)](https://huggingface.co/datasets/ASLP-lab/SongFormBench)
-[![Model](https://img.shields.io/badge/🤗%20Model-SongFormer-green)](https://huggingface.co/ASLP-lab/SongFormer)
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/ASLP-lab/SongFormer)
-[![Paper](https://img.shields.io/badge/📖%20Paper-Coming%20Soon-orange)]()
+![Python](https://img.shields.io/badge/Python-3.10-brightgreen)
+![License](https://img.shields.io/badge/License-CC%20BY%204.0-lightblue)
+[![arXiv Paper](https://img.shields.io/badge/arXiv-2510.02797-blue)](https://arxiv.org/abs/2510.02797)
+[![GitHub](https://img.shields.io/badge/GitHub-SongFormer-black)](https://github.com/ASLP-lab/SongFormer)
+[![HuggingFace Space](https://img.shields.io/badge/HuggingFace-space-yellow)](https://huggingface.co/spaces/ASLP-lab/SongFormer)
+[![HuggingFace Model](https://img.shields.io/badge/HuggingFace-model-blue)](https://huggingface.co/ASLP-lab/SongFormer)
+[![Dataset SongFormDB](https://img.shields.io/badge/HF%20Dataset-SongFormDB-green)](https://huggingface.co/datasets/ASLP-lab/SongFormDB)
+[![Dataset SongFormBench](https://img.shields.io/badge/HF%20Dataset-SongFormBench-orange)](https://huggingface.co/datasets/ASLP-lab/SongFormBench)
+[![Discord](https://img.shields.io/badge/Discord-join%20us-purple?logo=discord&logoColor=white)](https://discord.gg/p5uBryC4Zs)
+[![lab](https://img.shields.io/badge/🏫-ASLP-grey?labelColor=lightgrey)](http://www.npu-aslp.org/)
 
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@@ -81,7 +87,17 @@ dataset = load_dataset("ASLP-lab/SongFormBench")
 
 ## 🤝 Citation
 
-comming soon.
+```bibtex
+@misc{hao2025songformer,
+  title         = {SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision},
+  author        = {Chunbo Hao and Ruibin Yuan and Jixun Yao and Qixin Deng and Xinyi Bai and Wei Xue and Lei Xie},
+  year          = {2025},
+  eprint        = {2510.02797},
+  archivePrefix = {arXiv},
+  primaryClass  = {eess.AS},
+  url           = {https://arxiv.org/abs/2510.02797}
+}
+```
 
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