Dataset · Hugging Face

yinbq/sceneshift-InteriorGS-50

Name: sceneshift-InteriorGS-50
Creator: yinbq
License: mit
Keywords: task_categories:visual-question-answering, task_categories:image-text-to-text, language:en, license:mit, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, 3d-scene, spatial-reasoning, camera-pose, benchmark, gaussian-splatting

SceneShift InteriorGS Bench (50 Scenes) A spatial reasoning VQA benchmark built on 3D Gaussian Splatting (3DGS) reconstructions of real indoor scenes from the InteriorGS dataset. Dataset Summary 50 indoor scenes from InteriorGS 129,362 questions across 13 question types 3,820 rendered images from diverse camera poses 4 camera motion patterns: around, linear, rotation, spherical 13 question types: object_size, object_distance_to_camera, object_pair_distance_center… See the full description on the dataset page: https://huggingface.co/datasets/yinbq/sceneshift-InteriorGS-50.

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Author / organization	yinbq
License (as declared)	mit
Downloads	249 (as reported by Hugging Face)
Likes	0
Created	9 April 2026
Last updated at source	9 April 2026

3d-scenespatial-reasoningcamera-posebenchmarkgaussian-splatting

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