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| ## Glance at DrawingVQA Question and Answer Set |
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| Due to privacy constraints regarding real-world "Issued for Construction" documents, the original drawing images are not fully open to the public. However, the complete question set (text) is publicly available under CC BY-NC-SA 4.0. Researchers can still perform benchmark evaluations using our HuggingFace leaderboard repository (Coming Soon). |
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| ## Paper |
| [](https://openaccess.thecvf.com/content/CVPR2026F/papers/Jung_DrawingVQA_A_Real-World_Benchmark_for_Multi-Depth_Visual-Textual_Reasoning_on_Construction_CVPRF_2026_paper.pdf) |
| [](https://openaccess.thecvf.com/content/CVPR2026F/supplemental/Jung_DrawingVQA_A_Real-World_CVPRF_2026_supplemental.pdf) |
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| ## Citation |
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| ```bibtex |
| @InProceedings{Jung_2026_CVPR, |
| author = {Jung, Yoonhwa and Fu, Junryu and Golparvar-Fard, Mani}, |
| title = {DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings}, |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings}, |
| month = {June}, |
| year = {2026}, |
| pages = {2121-2130} |
| } |
| ``` |