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src/md.py
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## Overview
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The prompt-video pairs are sourced from [VideoGen-Eval](https://ailab-cvc.github.io/VideoGen-Eval/), a dataset featuring a diverse range of prompts and videos generated by state-of-the-art video diffusion models (VDMs). Our benchmark comprises 26.5k video pairs, each annotated with a corresponding preference label.
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<img src="https://i.postimg.cc/J7XhVLTh/image.png" alt="Video Duration and Resolution in VideoGen-RewardBench" style="width:
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We report two accuracy metrics: ties-included accuracy **(w/ Ties)** and ties-excluded accuracy **(w/o Ties)**.
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## Overview
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The prompt-video pairs are sourced from [VideoGen-Eval](https://ailab-cvc.github.io/VideoGen-Eval/), a dataset featuring a diverse range of prompts and videos generated by state-of-the-art video diffusion models (VDMs). Our benchmark comprises 26.5k video pairs, each annotated with a corresponding preference label.
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<img src="https://i.postimg.cc/J7XhVLTh/image.png" alt="Video Duration and Resolution in VideoGen-RewardBench" style="width:400px;">
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We report two accuracy metrics: ties-included accuracy **(w/ Ties)** and ties-excluded accuracy **(w/o Ties)**.
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