quastAI/behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings
V-JEPA 2 ViT-G Embeddings — BEHAVIOR-1K 2025 Challenge Demos (62h) Precomputed video embeddings for a 62-hour subsample of the BEHAVIOR-1K 2025 challenge demonstrations, extracted with the V-JEPA 2 ViT-g encoder. The goal is to make downstream experimentation faster and more reproducible by eliminating repeated video decoding and encoder forward passes — lowering the barrier for teams without access to large GPU clusters. Field Value Source dataset… See the full description on the dataset page: https://huggingface.co/datasets/quastAI/behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings.
| Author / organization | quastAI |
|---|---|
| License (as declared) | mit |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 May 2026 |
| Last updated at source | 2 June 2026 |
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