| ---
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| license: cc-by-nc-4.0
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| task_categories:
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| - video-generation
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| - computer-vision
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| language:
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| - en
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| pretty_name: MACE-Dance
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| size_categories:
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| - 10K<n<100K
|
| ---
|
|
|
| # 🎵 MACE-Dance Dataset
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|
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| **MACE-Dance** is a large-scale dataset for **music-driven dance video generation**, released with our SIGGRAPH 2026 paper:
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|
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| > **MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation**
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|
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| It is designed to support research on generating dance videos that are both:
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|
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| - 🕺 **kinematically plausible**
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| - 🎨 **visually coherent**
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| - 🎼 **well aligned with music**
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|
|
| ---
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|
|
| ## ✨ Overview
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|
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| The dataset contains approximately:
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|
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| - **70K** dance video clips
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| - **5–10 seconds** per clip
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| - **116 hours** in total
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| - **20+ dance genres**
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|
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| The data is curated from two complementary sources:
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|
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| ### 1. Motion-centric subset
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| - Derived from **FineDance**
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| - Front-view rendered dance videos from 3D motion sequences
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| - Focused on **professional dance motion quality**
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|
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| ### 2. Appearance-centric subset
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| - Collected from high-engagement internet dance videos
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| - Focused on **visual appearance diversity and realism**
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| This design helps benchmark both **motion quality** and **appearance quality** in music-driven dance video generation.
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|
|
| ---
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|
|
| ## 📂 Folder Structure
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|
|
| ```bash
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| MACE-Dance/
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| ├── Appearance/
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| └── Kinematic/
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| ```
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|
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| > The exact file organization may vary depending on the released version.
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|
|
| ---
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|
|
|
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| ## 🧹 Data Curation
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|
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| For the in-the-wild subset, we apply a multi-stage cleaning pipeline:
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|
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| - ✂️ shot boundary detection
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| - 🚶 motion filtering
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| - 🧍 single-person filtering
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| - ⏱️ clip segmentation into 5–10 second windows
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| This improves data quality for the music-driven dance generation task.
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|
|
| ---
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|
|
| ## 🎯 Intended Usage
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|
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| This dataset is intended for research on:
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|
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| - **music-driven dance video generation**
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| - **music-driven 3D dance generation**
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| - **pose-driven / motion-driven human animation**
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| - **motion and appearance evaluation**
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|
|
| ---
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|
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| ## ⚠️ Notes
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|
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| - This dataset is released for **research purposes only**.
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| - Please ensure your use complies with the corresponding license and platform policies.
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| - Some samples may originate from internet videos and are curated for academic research.
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|
|
| ---
|
|
|
| ## 📚 Citation
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|
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| If you find this dataset useful, please cite:
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|
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| ```bibtex
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| @article{yang2026macedance,
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| title={MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation},
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| author={Yang, Kaixing and Zhu, Jiashu and Tang, Xulong and Peng, Ziqiao and Zhang, Xiangyue and Wang, Puwei and Wu, Jiahong and Chu, Xiangxiang and Liu, Hongyan and He, Jun},
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| journal={ACM Transactions on Graphics (SIGGRAPH 2026)},
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| year={2026}
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| }
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| ```
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|
|
| --- |
