commusim-hf/SIUA
SIUA: Towards Characterizing Scientific Image Utility and Upgradability NeurIPS 2026 (ED Track) Overview SIUA is a benchmark for evaluating whether multimodal models can detect, explain, and repair scientific errors embedded in research figures — not merely judge whether an image looks good. Scientific figures encode visual-logical structure: curves encode trends, arrows encode causal flow, labels encode physical quantities. Visual plausibility is not… See the full description on the dataset page: https://huggingface.co/datasets/commusim-hf/SIUA.
| Author / organization | commusim-hf |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 2K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 May 2026 |
| Last updated at source | 28 September 2026 |
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