Remove author, affiliation, and contribution block from dataset card
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README.md
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<a href="https://videomembench.github.io/#results"><img src="https://img.shields.io/badge/%F0%9F%8F%86%20Leaderboard-Rank-e6b000?style=flat-square" alt="🏆 Leaderboard: Rank" height="26" /></a>
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</p>
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<p align="center" style="font-size: 16px; font-weight: 500; line-height: 2; margin: 24px auto 12px; max-width: 1000px;">
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<span style="display: inline-block; margin: 0 10px;">Zhengdong Hu<sup style="color: #7160eb;">1,*</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Chao Wang<sup style="color: #7160eb;">1,*</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Kaituo Feng<sup style="color: #7160eb;">2</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Huanjin Yao<sup style="color: #7160eb;">3</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Mingfei Lu<sup style="color: #7160eb;">1</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Hehe Fan<sup style="color: #7160eb;">4</sup></span>
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<span style="display: inline-block; margin: 0 10px;">Yi Yang<sup style="color: #7160eb;">4,†</sup></span>
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<p align="center" style="font-size: 14px; line-height: 2; margin: 0 auto 12px; max-width: 1000px;">
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<span style="display: inline-block; margin: 0 10px;"><sup style="color: #7160eb;">1</sup> University of Technology Sydney</span>
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<span style="display: inline-block; margin: 0 10px;"><sup style="color: #7160eb;">2</sup> The Chinese University of Hong Kong</span>
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<span style="display: inline-block; margin: 0 10px;"><sup style="color: #7160eb;">3</sup> The Hong Kong University of Science and Technology</span>
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<span style="display: inline-block; margin: 0 10px;"><sup style="color: #7160eb;">4</sup> Zhejiang University</span>
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<p align="center" style="font-size: 13px; margin: 12px auto 32px;"><sup>*</sup> Equal contribution · <sup>†</sup> Corresponding author</p>
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## Benchmark
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VideoMemBench evaluates **in-context video memory**: the ability to retrieve and reuse information established earlier in a multi-turn conversation about a video. Each sample pairs one video with an ordered dialogue, reference answers, and typed dependencies between turns.
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<a href="https://videomembench.github.io/#results"><img src="https://img.shields.io/badge/%F0%9F%8F%86%20Leaderboard-Rank-e6b000?style=flat-square" alt="🏆 Leaderboard: Rank" height="26" /></a>
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</p>
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## Benchmark
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VideoMemBench evaluates **in-context video memory**: the ability to retrieve and reuse information established earlier in a multi-turn conversation about a video. Each sample pairs one video with an ordered dialogue, reference answers, and typed dependencies between turns.
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