Datasets:

Video-Reason
/

VBVR-Pro-RL

---
language:
- en
license: cc-by-nc-4.0
size_categories:
- 10K<n<100K
pretty_name: VBVR-Pro-RL
task_categories:
- other
tags:
- video-generation
- image-to-video
- visual-reasoning
- reinforcement-learning
configs:
- config_name: video
  default: true
  data_files:
  - split: train
    path: preview/video.parquet
- config_name: image
  data_files:
  - split: train
    path: preview/image.parquet
---

# VBVR-Pro-RL

<div align="center">

<p align="center">
    <a href="https://video-reason.com/?v=pro" target="_blank">
        <img alt="Project Page" src="https://img.shields.io/badge/Project%20-%20Homepage-4285F4" height="20" />
    </a>
    <a href="https://arxiv.org/abs/2608.26105" target="_blank">
        <img alt="arXiv" src="https://img.shields.io/badge/arXiv-VBVR_Pro-red?logo=arxiv" height="20" />
    </a>
    <a href="https://github.com/Video-Reason/VBVR-Pro" target="_blank">
        <img alt="Code" src="https://img.shields.io/badge/Training_&_Inference-VBVR_Pro-100000?style=flat-square&logo=github&logoColor=white" height="20" />
    </a>
    <a href="https://github.com/Video-Reason/VBVR-Pro-Bench" target="_blank">
        <img alt="Eval Code" src="https://img.shields.io/badge/Evaluation_code-VBVR_Pro_Bench-100000?style=flat-square&logo=github&logoColor=white" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Video" target="_blank">
        <img alt="Dataset" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Dataset-Video-ffc107?color=ffc107&logoColor=white" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Image" target="_blank">
        <img alt="Dataset" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Dataset-Image-ffc107?color=ffc107&logoColor=white" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-RL" target="_blank">
        <img alt="Dataset" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Dataset-RL-ffc107?color=ffc107&logoColor=white" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-Bench" target="_blank">
        <img alt="Bench Data" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Bench-Data-ffc107?color=ffc107&logoColor=white" height="20" />
    </a>
    <a href="https://video-reason.com/pro/bench/#leaderboard" target="_blank">
        <img alt="Leaderboard" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Bench-Leaderboard-ffc107?color=ffc107&logoColor=white" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-RL/blob/main/LICENSE.md#code--apache-license-20">
        <img alt="Code License" src="https://img.shields.io/badge/Code-Apache_2.0-blue.svg" height="20" />
    </a>
    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-RL/blob/main/LICENSE.md#data-and-benchmark-materials--cc-by-nc-40">
        <img alt="Data License" src="https://img.shields.io/badge/Data-CC_BY--NC_4.0-blue.svg" height="20" />
    </a>
</p>

</div>

The **reinforcement-learning split** of VBVR-Pro: 50 parameterized tasks × 1,000 instances, held out from the SFT splits, in both a video (TI2V) and an interleaved-image setting.


## At a glance

| Property | Value |
|---|---|
| Tasks | **50** |
| Instances per task | **1,000** |
| Total instances | **50,000** per setting |
| Archives | 50 video + 50 image tar.gz |
| Total size | **10.9 GB** (video 9.7 + image 1.2) |
| Resolution | **1024 × 1024**, as generated |
| Video | 16 fps, MPEG-4 Part 2, no re-encode |

## Layout

```
.
├── VBVR-Pro-RL-Video/
│   ├── G-131_select_next_figure_increasing_size_sequence_data-generator.tar.gz
│   └── …                                                     # 50 archives
├── VBVR-Pro-RL-Image/
│   ├── G-131_select_next_figure_increasing_size_sequence_data-generator.tar.gz
│   └── …                                                     # 50 archives
├── video_jsonl/                                              # 50 files
├── image_jsonl/                                              # 50 files
├── meta_video_rl.json
└── meta_image_rl.json
```

An archive under `VBVR-Pro-RL-Video/` extracts to:

```
G-131_select_next_figure_increasing_size_sequence_data-generator/        # task
└── select_next_figure_increasing_size_sequence_task/                    # subtask
    ├── select_next_figure_increasing_size_sequence_00005005/            # sample
    │   ├── first_frame.png          # conditioning image  (1024 × 1024)
    │   ├── metadata.json            # task parameters, ground truth, scoring contract
    │   └── video/
    │       ├── prompt.txt           # instruction
    │       ├── ground_truth.mp4     # reference video     (16 fps, MPEG-4 Part 2)
    │       └── final_frame.png      # last frame of the reference video
    ├── select_next_figure_increasing_size_sequence_00005006/            # same files
    ├── …
    └── select_next_figure_increasing_size_sequence_00006004/            # 1,000 samples per task
```

The matching archive under `VBVR-Pro-RL-Image/` has the same task, subtask and
sample names, with the reference output as an image sequence instead:

```
G-131_select_next_figure_increasing_size_sequence_data-generator/
└── select_next_figure_increasing_size_sequence_task/
    ├── select_next_figure_increasing_size_sequence_00005005/
    │   ├── first_frame.png          # conditioning image  (1024 × 1024)
    │   ├── metadata.json            # task parameters, ground truth, scoring contract
    │   └── image/
    │       ├── prompt.txt           # instruction
    │       ├── frame_1.png          # reference output, step 1
    │       └── …                    # up to frame_N.png
    ├── select_next_figure_increasing_size_sequence_00005006/
    ├── …
    └── select_next_figure_increasing_size_sequence_00006004/
```

## Usage

```bash
huggingface-cli download Video-Reason/VBVR-Pro-RL --repo-type dataset --local-dir ./rl
mkdir -p rl-data && for f in ./rl/VBVR-Pro-RL-Video/*.tar.gz; do tar xzf "$f" -C rl-data; done
```

## License

VBVR-Pro source code, scripts, configuration files and task-specific scoring
software — including everything in this repository — are licensed under the
Apache License 2.0. VBVR-Pro data and benchmark materials are separately
licensed under CC BY-NC 4.0. Model weights and third-party materials remain
subject to their applicable model-card and upstream terms. See
[LICENSE.md](https://huggingface.co/datasets/Video-Reason/VBVR-Pro-RL/blob/main/LICENSE.md) for details.

## Citation

```bibtex
@misc{xu2026vbvrproscalableverifiablesuite,
      title={VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning},
      author={Junxiang Xu and Ruisi Wang and Fanyi Pu and Maijunxian Wang and Ran Ji and Tongxi Zhou and Chenyang Gu and Jing Zuo and Hongcan Xiao and Yimeng Geng and Wanqi Yin and Wei Chen and Oscar Qian and Zhengan Yan and Ziqi Huang and Haiwen Diao and Liang Pan and Bo Li and Xiangyu Fan and Dezhi Luo and Fengyuan Yu and Zehong Zhao and Qingying Gao and Tinghui Zhu and Yilan Zhang and Jingqi Tong and Pinyuan Feng and Zhengze Jiang and Letian Wang and Ziyu Guo and Renrui Zhang and Jieneng Chen and Sonia Joseph and Constantin Venhoff and Saman Motamed and Mengyue Yang and Chandra Sripada and Alan Yuille and Philip Torr and Lvmin Zhang and Vikash Kumar and Daniel Khashabi and Nikolaus Kriegeskorte and Raphaël Millière and Vincent C. Müller and Anyi Rao and Quan Wang and Ziwei Liu and Dahua Lin and Lei Yang and Hokin Deng and Zhongang Cai},
      year={2026},
      eprint={2608.26105},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2608.26105},
}
```