| --- |
| license: other |
| task_categories: [image-to-text, table-structure-recognition] |
| language: |
| - en |
| - zh |
| tags: |
| - table |
| - html |
| - image-to-html |
| - table-structure |
| - TABLET |
| --- |
| |
| # TABLET |
|
|
| 18642 table image/HTML pairs (17733 train, 909 test) synthesised from 9 table-question-answering source sets. |
|
|
| ## What is in here |
|
|
| `TABLET_html_image_pairs.zip` contains 18642 image/HTML pairs under `train/` and |
| `test/`, one `437b41c90b28ac41e73230c221a05c1e.png` and one `437b41c90b28ac41e73230c221a05c1e.html` each. The HTML is the table |
| annotation; **cells carry values**, so this is a content-and-structure |
| annotation, not a structure-only one. |
|
|
| Source sets, and how many samples each contributed: |
|
|
| - TabFact: 12231 |
| - TABMWP: 2381 |
| - ToTTo: 1575 |
| - WikiTableQuestions: 1146 |
| - TAT-QA: 475 |
| - WikiBIO: 363 |
| - StatCan: 258 |
| - InfoTabs: 187 |
| - NSF: 26 |
|
|
| PubTabNet is excluded on purpose: several table-recognition training mixes |
| already contain it, and a benchmark that overlaps the training data does not |
| measure generalisation. |
|
|
| ## Files |
|
|
| | file | what | |
| |---|---| |
| | `TABLET_html_image_pairs.zip` | the pairs (1.72 GB) | |
| | `TABLET_meta.jsonl` | one line per sample: `split`, `name`, `seed`, `has_cell_values` | |
| | `TABLET_stats.json` | counts and the seed breakdown | |
| | `TABLET_样本预览.html` | sample preview | |
|
|
| ## Splits |
|
|
| | split | n | |
| |---|---| |
| | train | 17733 | |
| | test | 909 | |
|
|
| ## Intended use |
|
|
| Table structure recognition and image-to-HTML generation. Score with TEDS when |
| the annotation carries cell text; a structure-only metric is not meaningful here |
| because the cells are not empty. |
|
|
