Update Sol and MiMo Index and describe 50+ MLLMs
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README.md
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<img src="assets/index.png" width="1000" alt="Overall model performance on OmniCompass-VL">
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OmniCompass is a holistic benchmark for omni-modal video grounding and understanding, comprising **820 videos** and built with approximately **1,800 human annotation hours**. It covers **2 target specifications** (Text and Text+Image), **2 complementary evaluation tracks** (OmniCompass-VL and OmniCompass-AV), **3 core tasks** (temporal grounding, spatial grounding, and question answering), and **3 video duration categories** (short, medium, and long). We evaluate **50 MLLMs** on both task performance and cross-specification consistency.
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## 📝 Content
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<img src="assets/index.png" width="1000" alt="Overall model performance on OmniCompass-VL">
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</p>
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OmniCompass is a holistic benchmark for omni-modal video grounding and understanding, comprising **820 videos** and built with approximately **1,800 human annotation hours**. It covers **2 target specifications** (Text and Text+Image), **2 complementary evaluation tracks** (OmniCompass-VL and OmniCompass-AV), **3 core tasks** (temporal grounding, spatial grounding, and question answering), and **3 video duration categories** (short, medium, and long). We evaluate **50+ MLLMs** on both task performance and cross-specification consistency.
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## 📝 Content
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README_zh-CN.md
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<img src="assets/index.png" width="1000" alt="各模型在 OmniCompass-VL 上的整体表现">
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</p>
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OmniCompass 是一个面向全模态视频定位与理解的综合评测基准,包含 **820 个视频**,投入约 **1,800 人工标注小时**。基准覆盖 **2 种目标指代**(纯文本、文本+图像)、**2 条互补评测轨道**(OmniCompass-VL 和 OmniCompass-AV)、**3 项核心任务**(时间定位、空间定位、视频问答)和 **3 类视频时长**(短视频、中视频、长视频),并评测 **50 个
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## 📝 目录
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<img src="assets/index.png" width="1000" alt="各模型在 OmniCompass-VL 上的整体表现">
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</p>
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OmniCompass 是一个面向全模态视频定位与理解的综合评测基准,包含 **820 个视频**,投入约 **1,800 人工标注小时**。基准覆盖 **2 种目标指代**(纯文本、文本+图像)、**2 条互补评测轨道**(OmniCompass-VL 和 OmniCompass-AV)、**3 项核心任务**(时间定位、空间定位、视频问答)和 **3 类视频时长**(短视频、中视频、长视频),并评测 **50+ 个多模态大模型** 的任务表现与跨指代一致性。
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## 📝 目录
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assets/index.png
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Git LFS Details
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Git LFS Details
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