hminjeong/TripleSumm-MoSu
Dataset Summary MoSu (Most Replayed Multimodal Video Summarization) is the first large-scale multimodal video summarization dataset. It provides synchronized visual, audio, and text features for 52,678 in-the-wild videos. The ground-truth annotations are based on YouTube's "Most Replayed" statistics, offering highly reliable per-frame importance scores derived from collective viewer engagement. Paper: TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization GitHub… See the full description on the dataset page: https://huggingface.co/datasets/hminjeong/TripleSumm-MoSu.
| Author / organization | hminjeong |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 392 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 11 March 2026 |
| Last updated at source | 15 March 2026 |
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