Update dataset card
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README.md
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@@ -86,3 +86,10 @@ cd VBVR-Pro-Bench && tar xzf VBVR-Pro-Bench-Video.tar.gz
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```
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Generate one video (or image sequence) per instance from `first_frame.png` + `prompt.txt`, then score with [VBVR-EvalKit](https://github.com/Video-Reason/VBVR-EvalKit).
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```
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Generate one video (or image sequence) per instance from `first_frame.png` + `prompt.txt`, then score with [VBVR-EvalKit](https://github.com/Video-Reason/VBVR-EvalKit).
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> This benchmark is **1024 × 1024**, as generated. The training splits
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> ([SFT-Video](https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Video),
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> [SFT-Image](https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Image))
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> are downscaled to 512 × 512, so training and evaluation resolutions differ by
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> design. Evaluate at 1024 × 1024 regardless of the resolution a model was
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> trained at, or state the deviation.
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