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@@ -44,7 +44,7 @@ for Comprehensive Video Understanding". It mainly consists of three parts: `vide
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- # 👀 Dataset Intro
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  In 2024, our [**Video-MME**](https://video-mme.github.io/) benchmark became a standard evaluation set for frontier models like Gemini and GPT. However, as model capabilities rapidly evolve, scores on existing benchmarks are saturating, yet a clear gap remains between **leaderboard performance and actual user experience**. This indicates that current evaluation paradigms fail to capture true video understanding abilities. To address this, we spent a year redesigning the evaluation system from first principles and now introduce **Video-MME v2**—a progressive and robust benchmark designed to drive the next generation of video understanding models.
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@@ -77,11 +77,11 @@ In 2024, our [**Video-MME**](https://video-mme.github.io/) benchmark became a st
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- # 🙌 Example
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  <p align="center">
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  <a href="https://huggingface.co/datasets/MME-Benchmarks/Video-MME-v2/resolve/main/assets/demo.mp4">
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- <img src="assets/demo_cover.png" width="80%" alt="Demo video"/>
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  </a>
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  </p>
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+ # 🩷 About This Benchmark
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  In 2024, our [**Video-MME**](https://video-mme.github.io/) benchmark became a standard evaluation set for frontier models like Gemini and GPT. However, as model capabilities rapidly evolve, scores on existing benchmarks are saturating, yet a clear gap remains between **leaderboard performance and actual user experience**. This indicates that current evaluation paradigms fail to capture true video understanding abilities. To address this, we spent a year redesigning the evaluation system from first principles and now introduce **Video-MME v2**—a progressive and robust benchmark designed to drive the next generation of video understanding models.
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+ # 🍺 Example
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  <p align="center">
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  <a href="https://huggingface.co/datasets/MME-Benchmarks/Video-MME-v2/resolve/main/assets/demo.mp4">
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+ <img src="assets/demo_cover.png" width="60%" alt="Demo video"/>
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  </a>
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  </p>
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