| | --- |
| | dataset_info: |
| | features: |
| | - name: example_id |
| | dtype: string |
| | - name: task |
| | dtype: |
| | class_label: |
| | names: |
| | '0': col_type |
| | '1': ent_link |
| | '2': fetaqa |
| | '3': hitab |
| | '4': hybridqa |
| | '5': infotabs |
| | '6': merged_cell_detection |
| | '7': rel_extraction |
| | '8': row_column_extraction |
| | '9': struct_aware_parse |
| | '10': tabfact |
| | '11': table_cell_extraction |
| | '12': table_cell_location |
| | '13': table_instruction |
| | '14': table_recognition |
| | '15': table_size_detection |
| | '16': tabmwp |
| | '17': tat-qa |
| | '18': totto |
| | '19': wikibio |
| | '20': wikitq |
| | - name: src_example_ids |
| | dtype: string |
| | - name: table_id |
| | dtype: string |
| | - name: table_seed_id |
| | dtype: string |
| | - name: table_seed_dataset |
| | dtype: string |
| | - name: table_page_title |
| | dtype: string |
| | - name: table_section_title |
| | dtype: string |
| | - name: table_variant |
| | dtype: string |
| | - name: img_source |
| | dtype: |
| | class_label: |
| | names: |
| | '0': PubTabNet |
| | '1': TABMWP |
| | '2': seed_render |
| | '3': wikipedia |
| | - name: input |
| | dtype: large_string |
| | - name: output |
| | dtype: string |
| | - name: split |
| | dtype: |
| | class_label: |
| | names: |
| | '0': dev |
| | '1': test |
| | '2': train |
| | - name: metadata |
| | dtype: string |
| | - name: table_wiki_page_id |
| | dtype: string |
| | - name: table_wiki_old_id |
| | dtype: string |
| | - name: table_html |
| | dtype: large_string |
| | - name: table_img |
| | dtype: image |
| | splits: |
| | - name: wikibio_train |
| | num_bytes: 11073920562 |
| | num_examples: 140000 |
| | - name: tatqa_train |
| | num_bytes: 114858299 |
| | num_examples: 2201 |
| | - name: hybridqa_train |
| | num_bytes: 14932215002 |
| | num_examples: 62670 |
| | - name: table_instruction_train |
| | num_bytes: 12180312819 |
| | num_examples: 136944 |
| | - name: tabmwp_train |
| | num_bytes: 326184930 |
| | num_examples: 23059 |
| | - name: hitab_train |
| | num_bytes: 1026591527 |
| | num_examples: 7417 |
| | - name: table_recognition_train |
| | num_bytes: 788489258 |
| | num_examples: 6927 |
| | - name: table_cell_extraction_train |
| | num_bytes: 2102295132 |
| | num_examples: 7727 |
| | - name: table_size_detection_train |
| | num_bytes: 1695496703 |
| | num_examples: 7800 |
| | - name: merged_cell_detection_train |
| | num_bytes: 993975274 |
| | num_examples: 7500 |
| | - name: table_cell_location_train |
| | num_bytes: 1227016660 |
| | num_examples: 7708 |
| | - name: tabfact_train |
| | num_bytes: 10356555069 |
| | num_examples: 87717 |
| | - name: totto_train |
| | num_bytes: 36076773336 |
| | num_examples: 110934 |
| | - name: row_column_extraction_train |
| | num_bytes: 2261383645 |
| | num_examples: 7721 |
| | - name: infotabs_train |
| | num_bytes: 1486818637 |
| | num_examples: 16538 |
| | - name: wikitq_train |
| | num_bytes: 3661437235 |
| | num_examples: 14152 |
| | - name: struct_aware_parse_train |
| | num_bytes: 2711066295 |
| | num_examples: 126581 |
| | - name: fetaqa_train |
| | num_bytes: 366072076 |
| | num_examples: 3006 |
| | download_size: 97565644868 |
| | dataset_size: 103381462459 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: wikibio_train |
| | path: data/wikibio_train-* |
| | - split: tatqa_train |
| | path: data/tatqa_train-* |
| | - split: hybridqa_train |
| | path: data/hybridqa_train-* |
| | - split: table_instruction_train |
| | path: data/table_instruction_train-* |
| | - split: tabmwp_train |
| | path: data/tabmwp_train-* |
| | - split: hitab_train |
| | path: data/hitab_train-* |
| | - split: fetaqa_train |
| | path: data/fetaqa_train-* |
| | - split: table_recognition_train |
| | path: data/table_recognition_train-* |
| | - split: table_cell_extraction_train |
| | path: data/table_cell_extraction_train-* |
| | - split: table_size_detection_train |
| | path: data/table_size_detection_train-* |
| | - split: merged_cell_detection_train |
| | path: data/merged_cell_detection_train-* |
| | - split: table_cell_location_train |
| | path: data/table_cell_location_train-* |
| | - split: tabfact_train |
| | path: data/tabfact_train-* |
| | - split: totto_train |
| | path: data/totto_train-* |
| | - split: row_column_extraction_train |
| | path: data/row_column_extraction_train-* |
| | - split: infotabs_train |
| | path: data/infotabs_train-* |
| | - split: wikitq_train |
| | path: data/wikitq_train-* |
| | - split: struct_aware_parse_train |
| | path: data/struct_aware_parse_train-* |
| | --- |
| | ### TABLET-Small |
| |
|
| | This is the _Small_ sized **train set** of the **TABLET** dataset. It contains the train examples for 14 **TABLET** tasks. |
| | Each task is capped at **140,000 examples**, resulting in a total of **776,602 training examples** across **14 tasks**. |
| | This dataset is self-contained, each example includes a table image, its HTML representation, and the associated task data. |
| | However, if you're interested in downloading just the TABLET tables, check out [TABLET-tables](https://huggingface.co/datasets/alonsoapp/TABLET-tables). |
| |
|
| | All TABLET Subsets: |
| | - _(train)_ [**TABLET-Small**](https://huggingface.co/datasets/alonsoapp/TABLET-Small): The smallest TABLET subset, including **776,602 examples** across **14 tasks**. |
| | - _(train)_ [**TABLET-Medium**](https://huggingface.co/datasets/alonsoapp/TABLET-Medium): Includes all examples from _TABLET-Small_, plus **Column Type Annotation**, **Entity Linking**, and **Relation Extraction** tasks. Each task is capped at **140,000 examples**, resulting in a total of **1,117,217 training examples** across **17 tasks**. |
| | - _(train)_ [**TABLET-Large**](https://huggingface.co/datasets/alonsoapp/TABLET-Large): Includes all examples from _TABLET-Medium_ with **no cap** on task size, resulting in a total of **3,505,311 training examples** across **17 tasks**. |
| | - _(dev)_ [**TABLET-dev**](https://huggingface.co/datasets/alonsoapp/TABLET-dev): The **development** set of TABLET. |
| | - _(test)_ [**TABLET-test**](https://huggingface.co/datasets/alonsoapp/TABLET-test): The **test** set of TABLET. |
| |
|
| | For more information, see our [paper](https://arxiv.org/pdf/2509.21205), [website](https://precious-panda-5ce815.netlify.app/tablet/), and [GitHub repository](https://github.com/AlonsoApp/TABLET). |
| |
|
| | #### Using the Dataset |
| |
|
| | Given its size, we recommend [streaming](https://huggingface.co/docs/datasets/stream) the dataset instead of downloading it entirely to disk: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | dataset = load_dataset('alonsoapp/TABLET-Small', split='fetaqa_train', streaming=True) |
| | print(next(iter(dataset))) |
| | ``` |
| |
|
| | #### Data Fields |
| |
|
| | Each sample within the dataset is structured with the following fields: |
| |
|
| | * **`example_id`**: Unique identifier for the example. |
| | * **`task`**: The name of the task this example belongs to. |
| | * **`src_example_ids`**: IDs of the original examples from the source dataset, formatted as `{"Dataset name": "id"}`. Use the `get_original_example` helper function from [our published code](https://github.com/AlonsoApp/TABLET) to easily retrieve the source example. |
| | * **`table_id`**: Unique identifier for the table. |
| | * **`table_seed_id`**: ID referencing the table in its original (seed) dataset. |
| | * **`table_seed_dataset`**: Name of the dataset where the table originated, typically matching the source dataset of the example. |
| | * **`table_page_title`**: For tables sourced from Wikipedia, the corresponding page title. |
| | * **`table_section_title`**: For Wikipedia tables, the title of the section where the table appears. |
| | * **`table_variant`**: Either "raw" or "highlighted". Some examples visually highlight specific cells and this field indicates whether the table is unmodified (raw) or includes highlights (highlighted). |
| | * **`img_source`**: Source of the table image. That is, whether the image comes from the Wikipedia visualization (wikipedia), a synthetic renderization from the data in the soruce dataset (seed_render), or directly copied from the original visualization of the table of the source dataset (PubTabNet, TabMWP). |
| | * **`input`**: The _instructified_ input used for training and evaluation (see [paper](https://arxiv.org/pdf/2509.21205)). The input can be rephrased using information in `metadata`. |
| | * **`output`**: The expected model output for the given `input`. |
| | * **`split`**: Dataset split: `train`, `dev`, or `test`. |
| | * **`metadata`**: Atomic data for the example to enable reconstruction or rephrasing of the instruction. Each key indicates a data element, the value can be obtained from either the _'input'_ or the _'output'_ strings using the substring defined by the character indexes in 'idx'. Use the get_metadata helper function from [our published code](https://github.com/AlonsoApp/TABLET) to retrieve these values. |
| | * **`table_wiki_page_id`**: For Wikipedia tables, the page ID corresponding to the article containing the table (useful for Wikipedia API queries). |
| | * **`table_wiki_old_id`**: For Wikipedia tables, the “old ID” identifying the article version at the crawl time. |
| | * **`table_html`**: HTML representation of the table. Use the `render_table` helper function from [our code](https://github.com/AlonsoApp/TABLET) to render it in its original style. For highlighted variants, highlighted cells use the CSS class `demeter_highlighted_cell`. Remove any decorators for this class in the CSS to render identically to the raw version. |
| | * **`table_img`**: The image representation of the table. |
| | |
| | #### Citation |
| | |
| | If you find **TABLET** useful in your research, please consider citing it by the following BibTeX entry. |
| | |
| | ```bibtex |
| | @misc{alonso2025tabletlargescaledatasetrobust, |
| | title={TABLET: A Large-Scale Dataset for Robust Visual Table Understanding}, |
| | author={Iñigo Alonso and Imanol Miranda and Eneko Agirre and Mirella Lapata}, |
| | year={2025}, |
| | eprint={2509.21205}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CV}, |
| | url={https://arxiv.org/abs/2509.21205}, |
| | } |
| | ``` |
