Dataset · Hugging Face

iontail/KoSum

Name: KoSum
Creator: iontail
License: cc-by-nc-4.0
Keywords: task_categories:summarization, language:ko, license:cc-by-nc-4.0, modality:video, region:us, video, summarization, highlight-detection, multimodal, most-replayed, youtube

Dataset Summary KoSum is a Korean YouTube benchmark for video summarization and highlight detection. It contains 700 recent Korean YouTube videos uploaded between 2024 and 2026, spanning 14 fine-grained content categories. KoSum provides per-second visual, audio, and text features aligned with YouTube Most-Replayed importance scores. The dataset is designed for multimodal video summarization, highlight detection, and analysis of viewer-engagement-driven editing patterns.… See the full description on the dataset page: https://huggingface.co/datasets/iontail/KoSum.

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Author / organization	iontail
License (as declared)	cc-by-nc-4.0
Downloads	131 (as reported by Hugging Face)
Likes	1
Created	14 June 2026
Last updated at source	14 June 2026

videosummarizationhighlight-detectionmultimodalmost-replayedyoutube

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