Datasets:
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
video-understanding
multimodal
video-metaphorical-understanding
benchmark
subtext-understanding
License:
Update README.md
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README.md
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[](https://liqiiiii.github.io/Video-Metaphorical-Understanding/)
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[](https://arxiv.org/abs/2605.14607)
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[](https://huggingface.co/datasets/LIQIIIII/ViMU)
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[Qi Li](https://liqiiiii.github.io/), [Xinchao Wang](https://sites.google.com/site/sitexinchaowang/)<sup>*</sup>
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</div>
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1. Open-ended interpretation (OE)
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2. Evidence grounding (EG)
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[](https://liqiiiii.github.io/Video-Metaphorical-Understanding/)
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[](https://arxiv.org/abs/2605.14607)
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[](https://huggingface.co/datasets/LIQIIIII/ViMU)
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[](https://github.com/LiQiiiii/Video-Metaphorical-Understanding)
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[Qi Li](https://liqiiiii.github.io/), [Xinchao Wang](https://sites.google.com/site/sitexinchaowang/)<sup>*</sup>
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</div>
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Our GitHub repository contains the evaluation scripts for ViMU, a benchmark for video metaphorical understanding. The code evaluates multimodal models on four tasks:
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1. Open-ended interpretation (OE)
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2. Evidence grounding (EG)
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