GenSAGA-3D
Genre-Conditioned, Safety-Aware 3D Game Assets for Text-to-3D Research
GenSAGA-3D is an open research dataset designed to study a part of text-to-3D generation that is still poorly represented in existing benchmarks: autoregressive 3D generation in structured game-asset space, with contextual safety labels and reusable multi-modal 3D representations.
The dataset contains 9,307 text-conditioned triangle meshes generated from 9,419 curated prompts… See the full description on the dataset page: https://huggingface.co/datasets/TrNi/GenSAGA-3D.