task_categories:text-classification task_ids:natural-language-inference multilinguality:monolingual size_categories:100K<n<1M source_datasets:fever language:cs license:cc-by-sa-3.0 Fact-checking arxiv:2201.11115 arxiv:2110.08420 region:us
---
license: cc-by-sa-3.0
task_categories:
- text-classification
task_ids:
- natural-language-inference
language:
- cs
tags:
- Fact-checking
pretty_name: CsFEVERv2-PVI
multilinguality: monolingual
source_datasets: fever
size_categories:
- 100K<n<1M
---
# Dataset Card for "CsFEVERv2"

## Dataset Description

CsFEVERv2_pvi is a dataset for Czech fact-checking (NLI) developed as part of a bachelor thesis at the Artificial Intelligence Center of the Faculty of Electrical Engineering of 
the Czech technical university in Prague.

### Languages

Czech

## Dataset Usage Example

```python
from datasets import load_dataset

dataset = load_dataset("/home/mlynatom/csfever_v2_pvi")
```

## Dataset Structure

### Data Instances
An example of 'train' looks as follows.
```json
{'id': 155439,
 'label': 2,
 'claim': 'Newcastle United FC vyhrál pět ligových titulů.',
 'evidence': "Ronnie Simpson. Ronnie Simpson (21. října 1930, Glasgow – 19. dubna 2004, Edinburgh) byl skotský fotbalový brankář..."}
```

### Data Fields
- `id`: a `int32` feature.
- `label`: a `int32` feature.
- `claim`: a `string` feature.
- `evidence`: a `string` feature.


### Data Splits
|          |  train | dev  | test  |
|----------|-------:|-----:|------:|
| num_rows | 106209 | 6319 | 6261  |


# Citation

```bibtex
@article{Ullrich_2023,
	doi = {10.1007/s10579-023-09654-3},
	url = {https://doi.org/10.1007%2Fs10579-023-09654-3},
	year = 2023,
	month = {may},
	publisher = {Springer Science and Business Media {LLC}},
	author = {Herbert Ullrich and Jan Drchal and Martin Rýpar and Hana Vincourová and Václav Moravec},
	title = {{CsFEVER} and {CTKFacts}: acquiring Czech data for fact verification},
	journal = {Language Resources and Evaluation},
    archivePrefix={arXiv},
    eprint={2201.11115},
}
```

```bibtex
@misc{ethayarajh2022understanding,
      title={Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information}, 
      author={Kawin Ethayarajh and Yejin Choi and Swabha Swayamdipta},
      year={2022},
      eprint={2110.08420},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

```bibtex
@thesis{Mlynar_2023,
  author      = {Mlynář, Tomáš},
  type        = {Bachelor's Thesis}
  title       = {Automated Fact Checking Based on Czech Wikipedia},
  institution = {Czech Technical University in Prague, Faculty of Electrical Engineering},
  date        = {2023},
  url         = {http://hdl.handle.net/10467/109219}
}
```