Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 60, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1842, in from_arrow_schema
                  metadata_features = Features.from_dict(metadata["info"]["features"])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1880, in from_dict
                  obj = generate_from_dict(dic)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1460, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1460, in <dictcomp>
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1466, in generate_from_dict
                  raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
              ValueError: Feature type 'Pdf' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'Sequence', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Video']
              
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, 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.

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CheckboxQA

CheckboxQA consists of varied questions requiring interpretation of checkable content in the context of visually rich documents. Required answers range from simple yes/no to lists of values. The dataset is intended solely for evaluation purposes.

Example

Data format

Questions and answers for CheckboxQA follows DUE data format.

Evaluation

The evaluation metric for CheckboxQA is ANLS* (Average Normalized Levenshtein Similarity). You may evaluate your model's predictions using the evaluate.py script from Snowflake-Labs/CheckboxQA repository.

Citation

Please cite the following paper when using this dataset:

@misc{turski2025uncheckedoverlookedaddressingcheckbox,
      title={Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large Language Models with CheckboxQA}, 
      author={Michał Turski and Mateusz Chiliński and Łukasz Borchmann},
      year={2025},
      eprint={2504.10419},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2504.10419}, 
}

License

This dataset is intended for non-commercial research purposes and is provided under the CC BY-NC license.
Please refer to DocumentCloud's terms of service at https://www.documentcloud.org/home/ for information regarding the rights of the underlying document.

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