Sekai: A Video Dataset for World Exploration

Sekai is a video dataset proposed for world exploration research by a team from Shanghai AI Laboratory and other institutions. The dataset page was last updated on 2026-06-27. The full description is available on the Hugging Face dataset page.

Use Cases

• Train video understanding models based on the world exploration theme mentioned in the description.
• Develop and benchmark computer vision algorithms for scene exploration based on video content.
• Conduct research on multimodal learning using video data for world modeling.

Strengths

• Dataset is associated with a research paper and a team from Shanghai AI Laboratory.
• The dataset page was updated on 2026-06-27, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Shanghai AI Laboratory and associated researchers.

Freshness

Last updated 2026-06-27 18:03:21.