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.