| --- |
| license: apache-2.0 |
| task_categories: |
| - text-to-video |
| extra_gated_prompt: "This dataset is curated for the Identity-Preserving Video Generation Challenge (https://hidream-ai.github.io/ipvg-challenge-2026.github.io/), which will be hosted at ACM Multimedia 2026. To request access to this dataset, please complete the registration form (https://forms.gle/j4Nwq38W9TjtPNgq9) using your Hugging Face registered email address. Access requests will be reviewed and processed within 48 hours." |
| extra_gated_fields: |
| I hereby acknowledge and agree that this dataset will be used exclusively for academic research and non-commercial purposes: checkbox |
|
|
| --- |
| |
| # VIP-200K-Video |
|
|
| ## Overview |
|
|
| This repository contains **only the video files** (`.tar` archives) from the [VIP-200K](https://huggingface.co/datasets/HiDream-ai/VIP-200K) dataset. |
|
|
| > **For the complete dataset** (including JSON annotations, face frames, and segment metadata), please download [HiDream-ai/VIP-200K](https://huggingface.co/datasets/HiDream-ai/VIP-200K). |
|
|
| ## File Structure |
|
|
| ``` |
| video/ |
| ├── vip200k_train_0001_of_0100.tar |
| ├── vip200k_train_0002_of_0100.tar |
| ├── ... |
| └── vip200k_train_0100_of_0100.tar |
| ``` |
|
|
| Each `.tar` archive contains video clips organized by YouTube video ID: |
|
|
| ``` |
| {video_id}/ |
| └── video/ |
| └── {id}_{beg:05d}_{end:05d}_{fidx_beg:05d}_{fidx_end:05d}.mp4 |
| ``` |
|
|
| ## Usage |
|
|
| Download and extract a specific shard: |
|
|
| ```bash |
| # Download a single shard |
| huggingface-cli download HiDream-ai/VIP-200K-Video \ |
| video/vip200k_train_0001_of_0100.tar \ |
| --repo-type dataset --local-dir . |
| |
| # Extract |
| tar -xf vip200k_train_0001_of_0100.tar |
| ``` |
|
|
| Download all video shards: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="HiDream-ai/VIP-200K-Video", |
| repo_type="dataset", |
| local_dir="./VIP-200K-Video", |
| ) |
| ``` |
|
|
| ## Complete Dataset |
|
|
| For annotations (JSON files with face bounding boxes, captions, segment metadata) and face frame images, please refer to the full dataset: |
|
|
| **[HiDream-ai/VIP-200K](https://huggingface.co/datasets/HiDream-ai/VIP-200K)** |
|
|
| ## Citation |
|
|
| If you use the VIP-200K dataset or find our research helpful, please cite our paper: |
|
|
| ```bibtex |
| @inproceedings{zhang2025identity, |
| title={Identity-Preserving Video Generation Challenge}, |
| author={Zhang, Yiheng and Qiu, Zhaofan and Cai, Qi and Li, Yehao and Long, Fuchen and Pan, Yingwei and Yao, Ting and Mei, Tao}, |
| booktitle={Proceedings of the 33rd ACM International Conference on Multimedia}, |
| pages={13737--13742}, |
| year={2025} |
| } |
| ``` |
|
|
