Translated with AI from the Russian original.

VK AI researchers have released the VK-LSVD (Large Short-Video Dataset) dataset to the public. According to the press service, engineers and scientists will be able to develop and improve recommendation algorithms with its help, in order to make services and products more personalized.

The dataset is available onHugging Face and includes 40 billion anonymized unique interactions of 10 million users with 20 million short videos over six months (January-June 2025), including "aggregated likes, dislikes, shares, viewing duration, and playback context."

All data is presented in the form of numerical identifiers, which ensures confidentiality. An embedding (numerical description of the content) is provided for each video, and socio-demographic characteristics are provided for each user. VK explained:

Short videos are a unique format for recommendation algorithms. Unlike music, podcasts, or long videos, they cannot be "consumed" in the background, and each video shown receives some reaction from the user. Even if the user does not leave a like, skipping or watching the video is already considered feedback.

Now on the front page

Articles

Why even a PC case should be branded

In Russian conditions, the popularity of PCs assembled by small local companies or in-house corporate IT departments continues to grow rapidly. Such solutions have historically been more popular in Russia than in other developed markets, but today new nuances have emerged in the segment's evolution, which we discussed with Karim LASKRI, Business Director of FSP Group in the CIS region.

News

Storage you can trust in the background: Basis SDS 2.3 released with scheduled diagnostics and an observer role

A storage system is the only infrastructure layer where an error cannot be “rolled back”: neither a reboot nor a configuration rollback will restore lost data. That is why users expect predictability from software-defined storage rather than just new features—ensuring background processes finish what they started, and administrators can see the cluster status not only “right now,” but also over time.