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@@ -29,4 +29,26 @@ configs:
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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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+
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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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+
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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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+
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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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+ ```