| --- |
| license: cc-by-4.0 |
| task_categories: |
| - visual-question-answering |
| language: |
| - en |
| tags: |
| - table-understanding |
| - multimodal |
| - benchmark |
| pretty_name: WildTableBench |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # WildTableBench |
|
|
| [[Paper](https://arxiv.org/abs/2605.01018)] [[GitHub](https://github.com/hjzhe/WildTableBench)] |
|
|
| **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 images (1.jpg … 402.jpg) |
| ``` |
|
|
| ### `metadata.csv` columns |
|
|
| | Column | Description | |
| |---|---| |
| | `file_name` | Relative path to the image (e.g. `images/1.jpg`) | |
| | `image_id` | Image index (1–402) | |
| | `index` | Question index within the image (1, 2, …) | |
| | `uuid` | Unique question ID (e.g. `wtb_001_q1`) | |
| | `question` | Question text | |
| | `category` | Category ID (C1–C5) | |
| | `category_name` | Category name | |
| | `subtype_id` | Subtype ID (e.g. `C2-C`) | |
| | `subtype_name` | Subtype name | |
| | `ground_truth` | Ground truth answer | |
|
|
| ## Question Categories |
|
|
| | ID | Name | Subtypes | |
| |---|---|---| |
| | C1 | Cell-Level | Transcription, Cell Locating, Semantic Lookup & Struct., Excel Formula | |
| | C2 | Numerical | Basic Numerical, Conditional Numerical, Multi-step Conditional, Ranking | |
| | C3 | Verification | Value Verification, Aggregate Verification, Conditional Verification | |
| | C4 | Hypothetical | Hypothetical Condition, Value Modification, Row Operation | |
| | C5 | Color | Color Identification, Color-based Counting, Color-based Reasoning | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("jzhuang/WildTableBench") |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{huang2025wildtablebench, |
| title={WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild}, |
| author={Junzhe Huang and Xiaoxiao Sun and Yan Yang and Yuxuan Hou and Ruotian Zhang and Sirui Li and Hehe Fan and Serena Yeung-Levy and Xin Yu}, |
| journal={arXiv preprint arXiv:2605.01018}, |
| year={2025}, |
| } |
| ``` |
|
|