Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Polish
Size:
10K - 100K
ArXiv:
License:
File size: 1,439 Bytes
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---
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: 17513368
num_examples: 60710
- name: validation
num_bytes: 3007517
num_examples: 10344
download_size: 15105952
dataset_size: 20520885
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
license: mit
task_categories:
- text2text-generation
language:
- pl
pretty_name: QA2D-pl
size_categories:
- 10K<n<100K
---
Polish 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}
}
```
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