erl-hub/behaviour1k-Qwen3-features

BEHAVIOR-1K Qwen3 skill features Per-frame conditioned features e_t = Phi(f_t, L_sub^(j), L), mean-pooled primitive skill latents S_j, aligned proprioception q_t, actions a_t, and subtask progress p_t. These are the inputs and targets for a Primitive Skill Composer VLA Skill Predictor. Ground-truth primitives come from BEHAVIOR-1K's hand-authored primitive_annotation, so the segmentation is human-labelled rather than predicted, and nothing here depends on a keyframe detector.… See the full description on the dataset page: https://huggingface.co/datasets/erl-hub/behaviour1k-Qwen3-features.

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