Datasets:
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README.md
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path: data/train-*
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- split: validation
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path: data/validation-*
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---
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path: data/train-*
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- split: validation
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path: data/validation-*
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license: mit
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task_categories:
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- text2text-generation
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language:
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- cs
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pretty_name: QA2D-cs
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size_categories:
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- 10K<n<100K
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---
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Czech version of the Question to Declarative Sentence ([QA2D](https://huggingface.co/datasets/domenicrosati/QA2D)). Machine translated using [DeepL](https://www.deepl.com]) service.
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For more information, see our [Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language](https://arxiv.org/abs/2312.10171) paper.
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Currently in review for [NCAA](https://link.springer.com/journal/521) journal.
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```bibtex
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@article{drchal2023pipeline,
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title={Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language},
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author={Drchal, Jan and Ullrich, Herbert and Mlyn{\'a}{\v{r}}, Tom{\'a}{\v{s}} and Moravec, V{\'a}clav},
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journal={arXiv preprint arXiv:2312.10171},
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year={2023}
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}
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```
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