Datasets:
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README.md
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@@ -102,11 +102,10 @@ The MVTamperBench dataset integrates videos from several sources, each contribut
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| MoVQA | Diverse scenes for scene transition comprehension |
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| VLN-CE | Indoor navigation from agent perspective |
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| TVQA | TV show scenes for episodic reasoning |
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| NTU RGB+D | Used for human action recognition |
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### Dataset Expansion
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The original MVBench dataset contains 3,
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- **Diversity**: Varied adversarial challenges for robust evaluation.
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- **Volume**: Sufficient data for training and testing.
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| MoVQA | Diverse scenes for scene transition comprehension |
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| VLN-CE | Indoor navigation from agent perspective |
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| TVQA | TV show scenes for episodic reasoning |
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### Dataset Expansion
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The original MVBench dataset contains 3,487 videos, which have been systematically expanded through tampering effects, resulting in a total of **22,122 videos**. This ensures:
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- **Diversity**: Varied adversarial challenges for robust evaluation.
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- **Volume**: Sufficient data for training and testing.
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json/fine_grained_pose.json
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video/ntu.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3f08c186ae7231039be2f1d6c649feb2eca6bfd0dfac03003473b07f84a994d
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size 2862791333
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