ctu-aic/qa2d-pl

---
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}
}
```

原始信息汇总

数据集概述

特征信息

• question: 字符串类型
• answer: 字符串类型
• turker_answer: 字符串类型
• rule-based: 字符串类型
• dataset: 字符串类型
• example_uid: 字符串类型

数据分割

• train:
  • 字节数: 17513368
  • 样本数: 60710
• validation:
  • 字节数: 3007517
  • 样本数: 10344

数据大小

• 下载大小: 15105952
• 数据集大小: 20520885

配置

• default:
  • 训练数据路径: data/train-*
  • 验证数据路径: data/validation-*

许可证

• MIT

任务类别

• 文本到文本生成

语言

• 波兰语

数据集名称

• QA2D-pl

数据集规模

• 10K<n<100K