---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: turker_answer
    dtype: string
  - name: rule-based
    dtype: string
  - name: dataset
    dtype: string
  - name: example_uid
    dtype: string
  splits:
  - name: train
    num_bytes: 17257995
    num_examples: 60710
  - name: validation
    num_bytes: 2947806
    num_examples: 10344
  download_size: 14891492
  dataset_size: 20205801
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
license: mit
task_categories:
- text2text-generation
language:
- cs
pretty_name: QA2D-cs
size_categories:
- 10K<n<100K
---

Czech version of the Question to Declarative Sentence ([QA2D](https://huggingface.co/datasets/domenicrosati/QA2D)). Machine translated using [DeepL](https://www.deepl.com]) service. 

For more information, see our [Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language](https://arxiv.org/abs/2312.10171) paper.
Currently in review for [NCAA](https://link.springer.com/journal/521) journal.

```bibtex
@article{drchal2023pipeline,
  title={Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language},
  author={Drchal, Jan and Ullrich, Herbert and Mlyn{\'a}{\v{r}}, Tom{\'a}{\v{s}} and Moravec, V{\'a}clav},
  journal={arXiv preprint arXiv:2312.10171},
  year={2023}
}
```