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---
language:
- en
pretty_name: "CheckboxQA"
tags:
- Checkbox
license: "cc-by-nc-4.0"
task_categories:
- document-question-answering
---
# 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.
<img src="data/CheckboxQA.jpg" width="500px" alt="Example"></img>
## 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](https://github.com/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/](https://www.documentcloud.org/home/) for information regarding the rights of the underlying document.
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