erl-hub/behaviour1k-Qwen3-DINOv3

PLS-VLA skill features Per-frame conditioned features e_t = Phi(f_t, L_sub^(j), L), mean-pooled skill latents S_j, aligned proprioception q_t, actions a_t, and subtask progress p_t. DINOv3 visual features V(f_t) are also included. Training inputs/targets for the Primitive Skill Composer VLA Skill Predictor. Versions from different trajectory corpora share this Hub repo; each folder is named {source}-task{NNNN} (e.g. b1k-task0000). Source source_dataset: b1k… See the full description on the dataset page: https://huggingface.co/datasets/erl-hub/behaviour1k-Qwen3-DINOv3.

<iframe src="https://silytics.si/embed/item/580f990d-c40a-4e4c-803f-de62a3f893e7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.