bhatvineet/mg-vqa-bench

mg-vqa-bench MG-VQA-Bench contains 600 frozen visual question answering tasks for MG-VQA-Sim. A vision-language model answers questions about cluttered tabletop scenes using a single image, perception tools, or perception and robot manipulation. Task Questions Beneath 150 Compare 150 Count 150 Find 150 The scenes use 319 unique object assets. Each snapshot stores object poses and physics parameters, the question, and the annotations needed for evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/bhatvineet/mg-vqa-bench.

<iframe src="https://silytics.si/embed/item/568dd624-88d8-424a-8f46-35eb598f4f86" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.