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Reuters Video-Language News Dataset

The Reuters Video-Language News Dataset (ReutersViLNews) is a large-scale video-language understanding dataset containing 1,974 long-form news videos with an average video length of 91.2 seconds.

Data and Resources

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Cite this as

Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Kocak, Leonid Sigal, Yalda Mohsenzadeh (2024). Dataset: Reuters Video-Language News Dataset. https://doi.org/10.57702/t5b89p6p

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2401.12419
Author	Shih-Han Chou
More Authors	Matthew Kowal Yasmin Niknam Diana Moyano Shayaan Mehdi Richard Pito Cheng Zhang Ian Knopke Sedef Akinli Kocak Leonid Sigal Yalda Mohsenzadeh
Homepage	https://arxiv.org/abs/2106.09567