FIRM-Reward
Collection
The data and models of the FIRM series. • 13 items • Updated • 1
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frames/002264_v/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
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frames/003675_b/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/4 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/3 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/0 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/2 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003675_b/7 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/0 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/3 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/7 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004794_b/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
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frames/000730_i/0 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/000730_i/2 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
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frames/004711_e/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/3 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/7 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/4 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004711_e/2 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/0 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/3 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/7 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/4 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/0049_pika_4236836294/2 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/4 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/3 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/0 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/2 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/004558_e/7 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003907_x/5 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003907_x/1 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003907_x/6 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 | |
frames/003907_x/4 | hf://datasets/VisionXLab/FIRM-Video@49893f02c9cb5517e3af1758576d55403197a107/frames.tar.gz.part-000 |
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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 object/character structure.
For further details, please refer to the following resources:
- Paper:
- GitHub: https://github.com/VisionXLab/FIRM-Reward
- Models&Benchmark: https://huggingface.co/collections/VisionXLab/firm-reward
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