| --- |
| language: [en, fr, nl, de, pl, el, ja] |
| license: cc-by-nc-4.0 |
| pretty_name: TabFix multilingual table error pairs |
| task_categories: [token-classification] |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.parquet |
| - split: validation |
| path: data/validation.parquet |
| - split: test |
| path: data/test.parquet |
| tags: [tabular-data, error-detection, data-cleaning, synthetic, xml] |
| --- |
| |
| # TabFix multilingual table error pairs — version 2.0 |
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| This release keeps 18 business error categories and separates executable deterministic detection from two residual neural categories: `text.encoding` and `text.spelling`. The same repository and family-disjoint splits are retained. |
|
|
| | Split | Records | Open-vocabulary views | |
| |---|---:|---:| |
| | train | 27948 | 3260 | |
| | validation | 17127 | 1844 | |
| | test | 32776 | 3540 | |
|
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| The seven string columns remain `id`, `split`, `family_id`, `clean_xml`, `corrupt_xml`, `errors`, `metadata`. Named split files are in `data/`; `dataset.parquet` combines them. |
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| Metadata adds `neural_error_indices`, `error_routes`, `neural_view` and `correction_candidates` (complete-cell targets, including valid copies). Detection reads only corrupt XML; correction renders `<original>observed cell</original><replacement>[MASK]…</replacement>` inside the selected cell. Targets are never included in inference input. Empty responses use END_EDIT; EDIT_PAD is distinct from batch padding. |
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| Original closed-vocabulary examples remain. Additional spelling/encoding views remove enum/lexicon constraints, retain the authored reference and share their source family/split. These are schema-ablation training augmentations, not newly collected real text. Matching valid copies include unusual names and scripts. No new claim of open-world semantic accuracy is made. Missing values without recoverable contents and linked field swaps are excluded from independent-cell correction supervision. |
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| Regex contracts were checked for accidental double escaping; no normalization was needed. Data values and partitions were preserved. All original sources remain; the dataset is predominantly synthetic. Family holdout is retained; no stronger structural holdout claim is made for the additional schema views. |
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| `audit.json` records current counts, `label_map.json` defines routing and labels, `release.json` gives checksums, and `provenance.json` retains source attribution. Version 1 remains accessible through Git revision history. |
|
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| ## Licensing and attribution |
|
|
| Project-authored synthetic content, annotations and documentation are licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Commercial use of that content requires permission from the project owner. |
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| USDA FoodData Central data is public domain and published under CC0 1.0, as described in the [FoodData Central API guide](https://fdc.nal.usda.gov/api-guide/). Its source terms remain applicable independently of the project-authored portions. Attribution: **U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov.** Source-specific provenance and terms are recorded in `provenance.json`. |
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