Datasets › OpenS2V-5M
OpenS2V-5M
We create the first open-source large-scale S2V generation dataset OpenS2V-5M, which consists of five million high-quality
720P subject-text-video triples. To ensure subject-information diversity in our dataset by, we (1) segmenting subjects
and building pairing information via cross-video associations and (2) prompting GPT-Image on raw frames to synthesize multi-view representations. The dataset supports both Subject-to-Video and Text-to-Video generation tasks.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Open-Domain Subject-to-Video | OpenS2V-5M | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- OpenS2V-5M
1 variant name, as the archive lists them.
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