CompTSRBench: 8K train / 2K test

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-to-text
+language:
+- en
+tags:
+- table-structure-recognition
+- table-recognition
+- html
+- document-understanding
+pretty_name: CompTSRBench
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: split
+    dtype: string
+  - name: pattern
+    dtype: int64
+  - name: image
+    dtype: image
+  - name: html
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 8000
+  - name: test
+    num_examples: 2000
+---
+
+# CompTSRBench
+
+CompTSRBench is a benchmark of 10,000 structurally complex synthetic tables for table structure recognition (image → HTML).
+Each table pairs a rendered image with its ground-truth HTML. The tables cover 25 canonical structural patterns
+(hierarchical headers, row and column spans, gridless regions and more) across application domains such as finance,
+science, education and healthcare.
+
+| Split | Tables |
+|---|---|
+| train | 8,000 |
+| test | 2,000 |
+
+Every pattern appears in both splits, with at least 40 test tables per pattern.
+
+## Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | string | Table identifier |
+| `split` | string | `train` or `test` |
+| `pattern` | int | Canonical structural pattern (1–25) |
+| `image` | image | Rendered table image |
+| `html` | string | Ground-truth table HTML (minified, no styling); headers are marked with `<th>` |
+
+## Structural statistics (all 10K tables)
+
+- 81.4% contain column spans, 89.5% row spans, 58.4% multi-level headers
+- On average 17.3 merged cells per table
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("researchgroup542/Table_Dataset")
+example = ds["test"][0]
+example["image"]   # PIL image
+example["html"]    # ground-truth HTML
+```
+
+## Evaluation
+
+We report TEDS, TEDS-Struct and the Triple Metric Score (TMS), a structure-first metric that checks each cell's position,
+header context and content in that order. See the paper for details.
+
+## License
+
+CC BY 4.0. All table content is synthetically generated and does not refer to real individuals or organizations.

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