Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
Paper • 2509.25794 • Published • 2
Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
Search is not available for this dataset
image imagewidth (px) 320 1.28k |
|---|
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Point-It-Out — subset mirror
A partial mirror of the data released with Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding (arXiv:2509.25794).
- Original source: https://github.com/xavihart/PIO (
data/) s1s2.json: identical to the upstreamdata/s1s2.json.images_s1s2/: 132 of the upstreamdata/images_s1s2/images, byte-identical to the originals. Only the images referenced by our evaluation subsets (affordance, attribute reference, ordinal reference, safety) are included.
The upstream repository does not declare a license. All rights remain with the original authors; this mirror is provided for evaluation convenience only. For the full dataset, use the upstream repository.
If you use this data, please cite the original paper.
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