| --- |
| license: cc-by-nc-4.0 |
| language: |
| - zh |
| tags: |
| - co-speech gesture portrait video generation |
| - speech2video |
| - video generation |
| size_categories: |
| - 10K<n<100K |
|
|
| extra_gated_heading: "Request Access to the CAS Dataset" |
| extra_gated_description: "Please provide your affiliation and intended use of the CAS dataset. Access requests will be reviewed manually. We will review your request as soon as possible." |
|
|
| extra_gated_fields: |
| Country / Region: country |
| Institution / Organization: text |
| Contact Email (Preferred): text |
| Intended Use: |
| type: select |
| options: |
| - Industry Applications |
| - Academic Research |
| - Education |
| - Benchmarking and Evaluation |
| - Other |
| Brief Project Description: text |
| --- |
| ## Summary |
| This is the **Chinese Announcer Speech (CAS)** dataset proposed in our paper [\[TCSVT 2026\] PAGE: Parts-Aware Guidance for Co-Speech Gesture Portrait Video Generation](https://arxiv.org/abs/2610.13301v1). |
|
|
| The **CAS** dataset is a large-scale dataset designed for the evaluation of co-speech gesture portrait video generation. It contains over **19,000 video clips featuring more than 800 unique speakers**, covering diverse scenarios, camera views, body poses, and expressive speaking styles. |
|
|
| **CAS** encompasses a broad range of real-world speaking scenarios, including indoor and outdoor environments, full-body and half-body framing, standing and seated postures, and diverse expressive speaking styles. These characteristics make CAS a valuable benchmark for evaluating the visual quality, motion diversity, and generalization capabilities of co-speech gesture portrait video generation methods. |
|
|
| ## Project |
| https://aigc-explorer.github.io/PAGE/ |
|
|
| ## Download and Extraction |
|
|
| You can download the dataset using the official Hugging Face Python library (`huggingface_hub`) or the Hugging Face CLI (`hf`). |
|
|
| After downloading, you should have 33 split archive files, named `CAS.tar.001` through `CAS.tar.033`. To extract the dataset, run: |
|
|
| ```bash |
| cd data/ |
| cat CAS.tar.0* | tar -xvf - |
| ``` |
|
|
| After extraction, the dataset directory will have the following structure: |
|
|
| ```text |
| CAS/data |
| ├── test_audio/ |
| ├── test_video/ |
| ├── train_audio/ |
| └── train_video/ |
| ``` |
|
|
| ## Citation |
| If you find our work useful, please consider citing our paper. Thank you! |
| ``` |
| @article{Wang2026PAGE, |
| author = {Yabiao Wang and Jiafu Wu and Yicheng Xu and Teng Hu and Shengzhe Zhou and Yanxiao Sun and Jiangning Zhang and Ying Tai and Yong Liu and Ming-Hsuan Yang}, |
| title = {PAGE: Parts-Aware GuidancE for Co-Speech Gesture Portrait Video Generation}, |
| journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)}, |
| year = {2026}, |
| volume = {}, |
| number = {}, |
| pages = {}, |
| doi = {10.1109/TCSVT.2026.3738661} |
| } |
| ``` |
