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leopoldmaillard/sceneteract-grpo

SceneTeract GRPO Training Set Action-level feasibility samples for post-training a VLM against a geometric verifier. Each row is one atomic interaction — an image, a prompt, and a label that was measured rather than annotated — ready to drop into TRL's GRPOTrainer. 8,073 samples over 1,132 3D-FRONT living rooms and dining rooms and three agent profiles. from datasets import load_dataset ds = load_dataset("leopoldmaillard/sceneteract-grpo") ds["train"] # 6,473 samples / 905… See the full description on the dataset page: https://huggingface.co/datasets/leopoldmaillard/sceneteract-grpo.

Author / organizationleopoldmaillard
License (as declared)cc-by-nc-4.0
Downloads133 (as reported by Hugging Face)
Likes0
Created15 September 2026
Last updated at source18 September 2026
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