Release FIRM-Video SFT 90K data

.gitattributes

@@ -58,3 +58,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+firm-video-sft-if.json filter=lfs diff=lfs merge=lfs -text
+firm-video-sft-vq.json filter=lfs diff=lfs merge=lfs -text
+firm-video-sft-wc.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,20 @@
+# 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
+
+## Citation
+```bibtex
+
+```

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