Use clean README without dataset_info for ImageFolder auto-detect

README.md

@@ -8,54 +8,66 @@ tags:
 - table-understanding
 - multimodal
 - benchmark
+pretty_name: WildTableBench
 size_categories:
 - 1K<n<10K
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: image_id
-    dtype: int32
-  - name: index
-    dtype: int32
-  - name: uuid
-    dtype: string
-  - name: question
-    dtype: string
-  - name: category
-    dtype: string
-  - name: category_name
-    dtype: string
-  - name: subtype_id
-    dtype: string
-  - name: subtype_name
-    dtype: string
-  - name: ground_truth
-    dtype: string
-  splits:
-  - name: train
-    num_examples: 928
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: metadata.csv
 ---
 
 # WildTableBench
 
-**WildTableBench** is a multimodal benchmark for evaluating table understanding in the wild.
+**WildTableBench** is a benchmark for evaluating multimodal foundation models on table understanding in the wild.
 
-- **Images**: 402 real-world table images
-- **Questions**: 928 questions across 5 categories
-- **License**: CC-BY-4.0
+- **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
 
-## Categories
+## 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 | F, L, S, T |
-| C2 | Numerical | B, C, M, R |
-| C3 | Verification | A, C, V |
-| C4 | Hypothetical | H, M, R |
-| C5 | Color | C, I, R |
+|---|---|---|
+| 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{wildtablebench2025,
+  title={WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild},
+  author={Junzhe Huang et al.},
+  year={2025}
+}
+```