kevin510/swm-ogbench-bg-hybrid-v2-k8

OGBench blue→green: hybrid verifier-MPC dataset v2 (k=8, R10-filtered) Training data for Qwen-based semantic world models (SWM): candidate action trajectories scored by a VLM judge at planning time. Successor to swm-ogbench-bg-hybrid-k8 (v1) with two changes: schema v2 captures every score component the planner computes (per-question judge scores, the soft gate, the blended planner score, picks, spreads, and MuJoCo state snapshots), and the published set is… See the full description on the dataset page: https://huggingface.co/datasets/kevin510/swm-ogbench-bg-hybrid-v2-k8.

<iframe src="https://silytics.si/embed/item/94040947-7d86-45e0-9070-a6fa1331d555" 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 Information may be incomplete or out of date.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 23 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.