| --- |
| language: |
| - en |
| license: mit |
| task_categories: |
| - text-to-video |
| - image-to-video |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: domain |
| dtype: string |
| - name: task_type |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: image |
| dtype: image |
| - name: reference_frames |
| sequence: image |
| - name: reference_text |
| sequence: string |
| - name: protocol |
| sequence: string |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: dataset.parquet |
| --- |
| |
| # Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning |
|
|
| [**Paper**](https://huggingface.co/papers/2512.24952) | [**Code**](https://github.com/RUCAIBox/VIPER) |
|
|
| ## 👀 About VIPER |
|
|
| - Overview: Process-aware evaluation for Generative Video Reasoning tasks. |
| - Statistics: 309 carefully curated samples spanning 6 distinct domains (i.e., temporal, structural, symbolic, spatial, physics and planning reasoning). |
| - New Metric: Process-outcome Consistency (POC@r). POC@r evaluate video correctness at both process- and outcome-level, with multiple frames uniformly sampled from the whole video at rate r, instead of the last frame only. |
|
|
| <p align="center"> |
| <img src="https://huggingface.co/datasets/Monosail/VIPER/resolve/main/overview.png" width="85%"> <br> |
| </p> |
| |
| ## Dataset Statistics |
|
|
| ### Domain Distribution |
|
|
| | Domain | Total Samples | Task Types | |
| |--------|---------------|------------| |
| | Physics | 32 | experiment, game | |
| | Planning | 44 | navigation, obj_manipulation | |
| | Spatial | 60 | block_rotate, dice, image_restore | |
| | Structural | 70 | chess, maze, sudoku, ttt | |
| | Symbolic | 60 | knowledge, math, multimodal | |
| | Temporal | 43 | obj_move, zoom | |
|
|
| ## 📦 Dataset Usage |
|
|
| ### Download |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the full dataset |
| dataset = load_dataset("Monosail/VIPER") |
| |
| ``` |
|
|
| ### Data Fields |
|
|
| - `id`: Unique identifier for the sample |
| - `domain`: The reasoning domain (Physics, Planning, Spatial, Structural, Symbolic, Temporal) |
| - `task_type`: Specific task category within the domain |
| - `prompt`: Text prompt describing the task |
| - `image`: The input image |
| - `reference_frames`: Ground-truth image frames |
| - `reference_texts`: Ground-truth text descriptions |
| - `protocol`: Process-level task constraints |
|
|
|
|
|
|
| ## 📝 Citation |
|
|
| If you find our benchmark useful, please consider citing us: |
|
|
| ```bibtex |
| @article{li2026viper, |
| title={Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning}, |
| author={Li, Yifan and Gu, Yukai and Min, Yingqian and Liu, Zikang Mirror and Du, Yifan and Zhou, Kun and Yang, Min and Zhao, Wayne Xin and Qiu, Minghui}, |
| journal={arXiv preprint arXiv:2512.24952}, |
| year={2025} |
| } |
| ``` |
