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jzhuang/WildTableBench

WildTableBench [Paper] [GitHub] WildTableBench is a benchmark for evaluating multimodal foundation models on table understanding in the wild. 402 real-world table images collected from diverse domains 928 questions across 5 categories and 17 subtypes Covers numerical reasoning, verification, cell locating, structural understanding, and more Dataset Structure WildTableBench/ ├── metadata.csv # 928 questions with labels └── images/ # 402 table… See the full description on the dataset page: https://huggingface.co/datasets/jzhuang/WildTableBench.

Author / organizationjzhuang
License (as declared)cc-by-4.0
Downloads222 (as reported by Hugging Face)
Likes5
Created30 April 2026
Last updated at source16 July 2026
table-understandingmultimodalbenchmark
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