Update README.md

README.md

@@ -1,43 +1,47 @@
----
-license: cc-by-nc-4.0
----
-
-
-# V2M Dataset: A Large-Scale Video-to-Music Dataset 🎶
-
-**The V2M dataset is proposed in the [VidMuse project](https://vidmuse.github.io/), aimed at advancing research in video-to-music generation.**
-
-## ✨ Dataset Overview
-
-The V2M dataset comprises 360K pairs of videos and music, covering various types including movie trailers, advertisements, and documentaries. This dataset provides researchers with a rich resource to explore the relationship between video content and music generation.
-
-
-## 🛠️ Usage Instructions
-
-- Download the dataset:
-  
-  ```bash
-  git clone https://huggingface.co/datasets/HKUSTAudio/VidMuse-V2M-Dataset
-  ```
-
-- Dataset structure:
-  
-  ```
-  V2M/
-  ├── V2M.txt
-  ├── V2M-20k.txt
-  └── V2M-bench.txt
-  ```
-
-## 🎯 Citation
-
-If you use the V2M dataset in your research, please consider citing:
-
-```
-@article{tian2024vidmuse,
-  title={Vidmuse: A simple video-to-music generation framework with long-short-term modeling},
-  author={Tian, Zeyue and Liu, Zhaoyang and Yuan, Ruibin and Pan, Jiahao and Liu, Qifeng and Tan, Xu and Chen, Qifeng and Xue, Wei and Guo, Yike},
-  journal={arXiv preprint arXiv:2406.04321},
-  year={2024}
-}
-```
+---
+license: cc-by-nc-4.0
+task_categories:
+- text-to-audio
+size_categories:
+- 100K<n<1M
+---
+
+
+# V2M Dataset: A Large-Scale Video-to-Music Dataset 🎶
+
+**The V2M dataset is proposed in the [VidMuse project](https://vidmuse.github.io/), aimed at advancing research in video-to-music generation.**
+
+## ✨ Dataset Overview
+
+The V2M dataset comprises 360K pairs of videos and music, covering various types including movie trailers, advertisements, and documentaries. This dataset provides researchers with a rich resource to explore the relationship between video content and music generation.
+
+
+## 🛠️ Usage Instructions
+
+- Download the dataset:
+  
+  ```bash
+  git clone https://huggingface.co/datasets/HKUSTAudio/VidMuse-V2M-Dataset
+  ```
+
+- Dataset structure:
+  
+  ```
+  V2M/
+  ├── V2M.txt
+  ├── V2M-20k.txt
+  └── V2M-bench.txt
+  ```
+
+## 🎯 Citation
+
+If you use the V2M dataset in your research, please consider citing:
+
+```
+@article{tian2024vidmuse,
+  title={Vidmuse: A simple video-to-music generation framework with long-short-term modeling},
+  author={Tian, Zeyue and Liu, Zhaoyang and Yuan, Ruibin and Pan, Jiahao and Liu, Qifeng and Tan, Xu and Chen, Qifeng and Xue, Wei and Guo, Yike},
+  journal={arXiv preprint arXiv:2406.04321},
+  year={2024}
+}
+```