The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
TABLET-tables
Here you can find the image and HTML files for all tables in the TABLET dataset.
These tables are already included in all TABLET datasets so you don't need to download anything in this repository if you only want to use the datasets.
TABLET datasets on Hugging Face are self-contained (each example already includes its table image and HTML), this resource provides access to the complete collection of table images and HTML files in one place.
These files are particularly useful when developing with our GitHub code.
TABLET datasets
In case you just want to have access to the examples including their images in a self-contained ready-to-use dataset, here are all the TABLET subsets:
- (train) TABLET-Small: The smallest TABLET subset, including 776,602 examples across 14 tasks.
- (train) 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: 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: The development set of TABLET.
- (test) TABLET-test: The test set of TABLET.
Downloading Table Files
- Download all files.
All TABLET train sets build on each other,
Smallis a subset ofMediumwhich is also a subset ofLarge. You can download a smaller set and later expand it by downloading more parts. No need to re-download existing files. Merge all parts into the final dataset using the snippet in step 4. Note that the first chunk "small.tar.zst.part_00*" contains not only TABLET-Small but also TABLET-test, and TABLET-dev.
# TABLET-Small, TABLET-test, and TABLET-dev (483GB)
wget -O small.tar.zst.part_001 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_001?download=true
wget -O small.tar.zst.part_002 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_002?download=true
wget -O small.tar.zst.part_003 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_003?download=true
wget -O small.tar.zst.part_004 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_004?download=true
wget -O small.tar.zst.part_005 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_005?download=true
wget -O small.tar.zst.part_006 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_006?download=true
wget -O small.tar.zst.part_007 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_007?download=true
wget -O small.tar.zst.part_008 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_008?download=true
wget -O small.tar.zst.part_009 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_009?download=true
wget -O small.tar.zst.part_0010 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0010?download=true
wget -O small.tar.zst.part_0011 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0011?download=true
wget -O small.tar.zst.part_0012 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0012?download=true
wget -O small.tar.zst.part_0013 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0013?download=true
wget -O small.tar.zst.part_0014 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0014?download=true
wget -O small.tar.zst.part_0015 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0015?download=true
wget -O small.tar.zst.part_0016 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0016?download=true
wget -O small.tar.zst.part_0017 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0017?download=true
wget -O small.tar.zst.part_0018 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0018?download=true
wget -O small.tar.zst.part_0019 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0019?download=true
wget -O small.tar.zst.part_0020 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0020?download=true
wget -O small.tar.zst.part_0021 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0021?download=true
wget -O small.tar.zst.part_0022 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0022?download=true
wget -O small.tar.zst.part_0023 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0023?download=true
wget -O small.tar.zst.part_0024 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0024?download=true
wget -O small.tar.zst.part_0025 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0025?download=true
wget -O small.tar.zst.part_0026 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0026?download=true
wget -O small.tar.zst.part_0027 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/small.tar.zst.part_0027?download=true
wget -O checksums_small.sha256 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/checksums_small.sha256?download=true
# TABLET-Small complete: You already have all the tables needed for TABLET-Small, TABLET-test, and TABLET-dev.
# TABLET-Medium (+146GB)
wget -O medium.tar.zst.part_001 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_001?download=true
wget -O medium.tar.zst.part_002 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_002?download=true
wget -O medium.tar.zst.part_003 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_003?download=true
wget -O medium.tar.zst.part_004 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_004?download=true
wget -O medium.tar.zst.part_005 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_005?download=true
wget -O medium.tar.zst.part_006 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_006?download=true
wget -O medium.tar.zst.part_007 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_007?download=true
wget -O medium.tar.zst.part_008 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_008?download=true
wget -O medium.tar.zst.part_009 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/medium.tar.zst.part_009?download=true
wget -O checksums_medium.sha256 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/checksums_medium.sha256?download=true
# TABLET-Medium complete: You already have all the tables needed for TABLET-Medium.
# TABLET-Large (+907GB)
wget -O large.tar.zst.part_001 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_001?download=true
wget -O large.tar.zst.part_002 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_002?download=true
wget -O large.tar.zst.part_003 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_003?download=true
wget -O large.tar.zst.part_004 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_004?download=true
wget -O large.tar.zst.part_005 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_005?download=true
wget -O large.tar.zst.part_006 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_006?download=true
wget -O large.tar.zst.part_007 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_007?download=true
wget -O large.tar.zst.part_008 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_008?download=true
wget -O large.tar.zst.part_009 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_009?download=true
wget -O large.tar.zst.part_0010 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0010?download=true
wget -O large.tar.zst.part_0011 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0011?download=true
wget -O large.tar.zst.part_0012 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0012?download=true
wget -O large.tar.zst.part_0013 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0013?download=true
wget -O large.tar.zst.part_0014 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0014?download=true
wget -O large.tar.zst.part_0015 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0015?download=true
wget -O large.tar.zst.part_0016 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0016?download=true
wget -O large.tar.zst.part_0017 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0017?download=true
wget -O large.tar.zst.part_0018 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0018?download=true
wget -O large.tar.zst.part_0019 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0019?download=true
wget -O large.tar.zst.part_0020 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0020?download=true
wget -O large.tar.zst.part_0021 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0021?download=true
wget -O large.tar.zst.part_0022 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0022?download=true
wget -O large.tar.zst.part_0023 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0023?download=true
wget -O large.tar.zst.part_0024 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0024?download=true
wget -O large.tar.zst.part_0025 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0025?download=true
wget -O large.tar.zst.part_0026 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0026?download=true
wget -O large.tar.zst.part_0027 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0027?download=true
wget -O large.tar.zst.part_0028 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0028?download=true
wget -O large.tar.zst.part_0029 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/large.tar.zst.part_0029?download=true
wget -O checksums_large.sha256 https://huggingface.co/datasets/alonsoapp/TABLET-tables/resolve/main/checksums_large.sha256?download=true
- Verify checksums (optional):
sha256sum -c checksums_small.sha256
sha256sum -c checksums_medium.sha256
sha256sum -c checksums_large.sha256
Re-download any files that do not pass the check
- Stream-extract the parts:
cat small.tar.zst.part_* | zstd -d -T0 | tar -xf -
rm small.tar.zst.part_*
cat medium.tar.zst.part_* | zstd -d -T0 | tar -xf -
rm medium.tar.zst.part_*
cat large.tar.zst.part_* | zstd -d -T0 | tar -xf -
rm large.tar.zst.part_*
- Merge into the same directory using rsync:
mv ./small/ ./resources/
rsync -zavhP --remove-source-files ./medium/tables/ ./resources/tables/
rsync -zavhP --remove-source-files ./large/tables/ ./resources/tables/
- Resources path
You can place the
tablesfolder under./resources/at the root of this project or put it on a separate location (e.g. a high capacity drive). If using a custom path, export it as an environment variable:
export TABLET_RESOURCES="/media/hdd/resources/" # Your custom path to resources
Once finished, the ./resources/tables/ the folder should look like this:
.
├── html
│ ├── highlighted
│ │ ├── ToTTo
│ │ │ ├── fetaqa
│ │ │ │ ├── dev
│ │ │ │ ├── test
│ │ │ │ └── train
│ │ │ └── totto
│ │ │ ├── dev
│ │ │ ├── test
│ │ │ └── train
│ │ └── TURL
│ │ ├── col_type
│ │ │ ├── dev
│ │ │ ├── test
│ │ │ └── train
│ │ ├── ent_link
│ │ │ ├── dev
│ │ │ ├── test
│ │ │ └── train
│ │ └── rel_extraction
│ │ ├── dev
│ │ ├── test
│ │ └── train
│ └── raw
│ ├── HybridQA
│ ├── InfoTabs
│ ├── NSF
│ ├── PubTabNet
│ ├── StatCan
│ ├── TabFact
│ ├── TABMWP
│ ├── TAT-QA
│ ├── ToTTo
│ ├── TURL
│ ├── WikiBIO
│ └── WikiTableQuestions
└── img
├── highlighted
│ ├── ToTTo
│ │ ├── fetaqa
│ │ │ ├── dev
│ │ │ ├── test
│ │ │ └── train
│ │ └── totto
│ │ ├── dev
│ │ ├── test
│ │ └── train
│ └── TURL
│ ├── col_type
│ │ ├── dev
│ │ ├── test
│ │ └── train
│ ├── ent_link
│ │ ├── dev
│ │ ├── test
│ │ └── train
│ └── rel_extraction
│ ├── dev
│ ├── test
│ └── train
└── raw
├── HybridQA
├── InfoTabs
├── NSF
├── PubTabNet
├── StatCan
├── TabFact
├── TABMWP
├── TAT-QA
├── ToTTo
├── TURL
├── WikiBIO
└── WikiTableQuestions
License
TABLET's original contributions — the table image renderings, unified annotation format, task instructions, and accompanying metadata and scripts produced by the TABLET authors — are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where the license of a source dataset requires otherwise (see below).
TABLET is a meta-dataset aggregating 14 existing table understanding datasets. Each TABLET subset remains subject to the license and terms of use of its original source. By downloading or using TABLET, you agree to comply with the license of every source dataset you use, in addition to the terms above. Where a source license conflicts with CC BY 4.0, the source license prevails for that subset.
Source dataset licenses
| Subset | Source license | Notes |
|---|---|---|
| TURL (Deng et al., 2020) | Apache 2.0 | Tables originate from Wikipedia (CC BY-SA 3.0). |
| ToTTo (Parikh et al., 2020) | CC BY-SA 3.0 | ShareAlike: this subset is redistributed under CC BY-SA 3.0. |
| TabFact (Chen et al., 2020a) | MIT | Tables originate from Wikipedia (CC BY-SA 3.0). |
| WikiTableQuestions (Pasupat & Liang, 2015) | CC BY-SA 4.0 | ShareAlike: this subset is redistributed under CC BY-SA 4.0. |
| HybridQA (Chen et al., 2020b) | MIT | Tables and passages originate from Wikipedia (CC BY-SA 3.0). |
| HiTab (Cheng et al., 2022) | C-UDA v1.0 | Microsoft Computational Use of Data Agreement: data may be used and redistributed for computational purposes only, and any redistribution of this subset must include the C-UDA agreement. |
| PubTabNet (Zhong et al., 2020) | CDLA-Permissive 1.0 (annotations) | Table images are from the PubMed Central Open Access Subset and remain subject to the PMC Open Access Subset terms of use; individual article licenses vary. |
| TabMWP (Lu et al., 2023) | CC BY-NC-SA 4.0 | Non-commercial use only. ShareAlike: this subset is redistributed under CC BY-NC-SA 4.0. |
| TAT-QA (Zhu et al., 2021) | CC BY 4.0 | — |
| InfoTabs (Gupta et al., 2020) | Apache 2.0 | Tables originate from Wikipedia infoboxes (CC BY-SA 3.0). See the dataset's datasheet for non-academic usage. |
| WikiBIO (Lebret et al., 2016) | CC BY-SA 3.0 | ShareAlike: this subset is redistributed under CC BY-SA 3.0. |
| FeTaQA (Nan et al., 2022) | CC BY-SA 4.0 | ShareAlike: this subset is redistributed under CC BY-SA 4.0. |
| MMTab (Zheng et al., 2024b) | MIT | MMTab is itself constructed from 14 public table datasets; the licenses of its underlying sources also apply. Code repository is Apache 2.0. |
| DocStruct4M (Hu et al., 2024) | Apache 2.0 | Built from publicly available text-rich image datasets; the licenses of its underlying sources also apply. |
Usage restrictions to be aware of
- Non-commercial subset. The TabMWP subset is licensed CC BY-NC-SA 4.0 and may not be used for commercial purposes. If you require a fully commercial-compatible corpus, exclude this subset.
- ShareAlike subsets. The subsets derived from ToTTo, WikiTableQuestions, FeTaQA, and WikiBIO carry ShareAlike terms: adaptations of these subsets must be distributed under the same (or a compatible) license, not plain CC BY.
- HiTab. Use and redistribution of the HiTab subset is governed by the C-UDA v1.0; results of computational analysis (e.g., trained models) are not restricted, but the data itself may only be redistributed together with the C-UDA terms.
- PubTabNet images. Images remain subject to the PMC Open Access Subset terms; check individual article licenses if you redistribute them outside a research context.
- Attribution. Whatever subsets you use, please attribute the original datasets and cite the corresponding papers (see the Citation section) in addition to citing TABLET.
License information above was collected from each project's official repository or dataset card. It is provided in good faith and does not constitute legal advice; if in doubt, consult the original license texts linked in the table.
Citation
If you use this dataset, please cite:
@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},
}
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