VisionXLab/FIRM-Video
FIRM-Video-SFT-90K This repository releases the 90K SFT data for FIRM-Video. The dataset covers three key evaluation dimensions: Instruction Following (IF): whether the generated video accurately follows the text prompt. Visual Quality (VQ): perceptual and technical quality, including clarity, sharpness, artifacts, flicker, and overall visual fidelity. World Coherence (WC): whether the video is coherent with commonsense, temporal consistency, physical plausibility, and… See the full description on the dataset page: https://huggingface.co/datasets/VisionXLab/FIRM-Video.
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1# FIRM-Video-SFT-90K2 3This repository releases the 90K SFT data for **FIRM-Video**.4 5The dataset covers three key evaluation dimensions:6 7- **Instruction Following (IF)**: whether the generated video accurately follows the text prompt.8- **Visual Quality (VQ)**: perceptual and technical quality, including clarity, sharpness, artifacts, flicker, and overall visual fidelity.9- **World Coherence (WC)**: whether the video is coherent with commonsense, temporal consistency, physical plausibility, and object/character structure.10 11For further details, please refer to the following resources:12 13- Paper: 14- GitHub: https://github.com/VisionXLab/FIRM-Reward15- Models&Benchmark: https://huggingface.co/collections/VisionXLab/firm-reward16 17## Citation18```bibtex19 20```