Update README.md

README.md

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   - video-generation
   - reasoning
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 ### We bet on a future where video reasoning is the next foundational intelligence paradigm.
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 ## About Us
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 **Video-Reason** is a research initiative dedicated to advancing **video reasoning** as the next foundational intelligence paradigm — where spatiotemporal, embodied world experiences are more naturally captured than through text alone. We build large-scale datasets, benchmarks, and models to systematically study and scale video reasoning capabilities.
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 ## VBVR: A Very Big Video Reasoning Suite
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 Our flagship project, **VBVR (Very Big Video Reasoning)**, introduces an unprecedentedly large-scale resource for video reasoning research:
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 - **200** curated reasoning tasks across 5 domains: **Perception**, **Abstraction**, **Spatiality**, **Transformation**, and **Knowledge**
 - **1,000,000+** video clips — approximately three orders of magnitude larger than existing datasets
 - **Verifiable evaluation** via rule-based, human-aligned scorers (no model-based judging)
 - **Early signs of emergent generalization** to unseen reasoning tasks through large-scale scaling studies
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 ## Releases
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 | Resource | Description | Link |
 |---|---|---|
 | **VBVR-Wan2.2** | Strong baseline model fine-tuned from Wan2.2-I2V-A14B on the VBVR Dataset | [Model](https://huggingface.co/Video-Reason/VBVR-Wan2.2) |
 | **VBVR-Bench-Data** | Official benchmark test set (500 samples across in-domain and out-of-domain splits) | [Dataset](https://huggingface.co/datasets/Video-Reason/VBVR-Bench-Data) |
 | **VBVR-Bench-Leaderboard** | Public leaderboard for standardized model comparison | [Space](https://huggingface.co/spaces/Video-Reason/VBVR-Bench-Leaderboard) |
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 ## Citation
 ```bibtex
 @article{vbvr2026,