Remove statistics block and redundant leaderboard introduction
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README.md
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@@ -61,25 +61,8 @@ VideoMemBench evaluates **in-context video memory**: the ability to retrieve and
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Dependencies are checked for necessity and non-leakage, and answers must be visually grounded. A planner, generator, and judger construct and check dialogues, followed by human expert review. Videos are drawn from Video-MME, VSI-Bench, Video-MMMU, LongVideoBench, EgoLife, and YouTube. See the [paper](https://arxiv.org/html/2610.40131v1) for construction and collection details.
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| Property | Value |
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| --- | ---: |
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| Videos / dialogues | 326 / 326 |
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| QA turns | 2,476 |
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| Independent / dependent turns | 1,089 / 1,387 |
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| Episodic / Answer dependency edges | 1,200 / 594 |
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| Turns with multiple parents | 348 |
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| Open / multiple-choice / true-or-false questions | 1,709 / 603 / 164 |
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| Turns per dialogue | 4–21; mean 7.6 |
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| Semantic domains / broad categories | 31 / 4 |
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The four broad categories are Lifestyle & Entertainment (130 videos), Knowledge & Education (80), Art & Literature (66), and Sports & Competition (50). A turn may have multiple parents and both dependency types. Each annotation record maps to one video in `videos/`.
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## Leaderboard
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### Main results · 128 frames
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25 models evaluated with 128 frames and their own conversation history. Ranked by **Overall**, highest first.
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[View the interactive leaderboard →](https://videomembench.github.io/#results)
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<div style="overflow-x: auto;">
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Dependencies are checked for necessity and non-leakage, and answers must be visually grounded. A planner, generator, and judger construct and check dialogues, followed by human expert review. Videos are drawn from Video-MME, VSI-Bench, Video-MMMU, LongVideoBench, EgoLife, and YouTube. See the [paper](https://arxiv.org/html/2610.40131v1) for construction and collection details.
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## Leaderboard
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[View the interactive leaderboard →](https://videomembench.github.io/#results)
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<div style="overflow-x: auto;">
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