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Dataset · Hugging Face

ZODAOfficial/MindEdit-Bench

MindEdit-Bench 1,003 multiple-choice spatial-reasoning questions over indoor triplets (three handheld smartphone photos per scene). Six task types covering camera motion, cross-view object relations, perspective transformation, spatial editing, and cross-view visibility. Quick start from datasets import load_dataset # Load one task (six are available — see "Subsets" below) ds = load_dataset("ZODAOfficial/MindEdit-Bench", "camera_motion", split="test") print(ds)… See the full description on the dataset page: https://huggingface.co/datasets/ZODAOfficial/MindEdit-Bench.

Author / organizationZODAOfficial
License (as declared)cc-by-4.0
Downloads132 (as reported by Hugging Face)
Likes1
Created1 July 2026
Last updated at source1 July 2026
spatial-reasoningvision-language-modelvlm-evaluation3d-scene-graphcounterfactual-reasoningbenchmark
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