| --- |
| 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. |
|
|
