VideoXum

VideoXum is a large-scale video summarization dataset that contains 14,001 long videos with corresponding human-annotated video and text summaries.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Jingyang Lin, Hang Hua, Ming Chen, Yikang Li, Jenhao Hsiao, Chiuman Ho, Jiebo Luo (2024). Dataset: VideoXum. https://doi.org/10.57702/7157h28n

DOI retrieved: December 16, 2024

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2303.12060
Author	Jingyang Lin
More Authors	Hang Hua Ming Chen Yikang Li Jenhao Hsiao Chiuman Ho Jiebo Luo
Homepage	https://videoxum.github.io/