spatial
Datasets
All datasets matching “spatial”3d-spatial-reasoning-2InteriorGS
InteriorGS: 3D Gaussian Splatting Dataset of Semantically Labeled Indoor Scenes
A comprehensive indoor scene dataset featuring 3D Gaussian representations with semantic annotations and spatial occupancy information.
Sample from the InteriorGS dataset. The dataset provides high-quality 3D Gaussian Splatting (3DGS) representations along with instance-level semantic bounding boxes and occupancy maps indicating agent-accessible areas. The red and yellow… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/InteriorGS.amara-spatial-10k
AmaraSpatial-10K
A Semantically Anchored, Metric-Scale 3D Dataset for Embodied AI and Spatial Computing
10,071 AI-generated 3D meshes across 10 top-level categories and 476 subcategories — from basilisks to bassoons, cottages to cosmic stations — curated by Zero One Creative to close the spatial alignment gap that makes most generative 3D repositories unusable for zero-shot deployment in game engines, robotics simulators, and AR/VR pipelines.
Every asset is… See the full description on the dataset page: https://huggingface.co/datasets/ZeroOneCreative/amara-spatial-10k.SpatialEdit-500K
SpatialEdit-500K
SpatialEdit-500K is a synthetic training dataset for fine-grained image spatial editing. It is built for learning geometry-aware edits such as object moving, object rotation, and camera viewpoint change.
The dataset was introduced in the paper SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing. It is generated with a controllable rendering pipeline to provide structured spatial transformations at scale.
Project Resources
GitHub Repository:… See the full description on the dataset page: https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-500K.3d-spatial-reasoning-1SAGE-3D_VLN_Data
SAGE-3D VLN Data: Vision-Language Navigation Dataset with Hierarchical Instructions
Paper | Project Page | Code
A comprehensive VLN dataset featuring 2 million trajectory-instruction pairs across 1,000 indoor scenes, with hierarchical instruction design covering high-level semantic goals to low-level control commands.
Overview of SAGE-3D VLN Data. SAGE-3D VLN Data includes a hierarchical instruction, and two major task types (VLN + No-goal).
📢 News… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/SAGE-3D_VLN_Data.