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MindEdit-Bench – Dataset by ZODAOfficial | AlphaNeural AI
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MindEdit-Bench
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visual-question-answering
multiple-choice
en
cc-by-4.0
1K<n<10K
parquet
optimized-parquet
image
text
datasets
pandas
polars
mlcroissant
us
spatial-reasoning
vision-language-model
vlm-evaluation
3d-scene-graph
counterfactual-reasoning
benchmark
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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
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