README.md

---
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: label
    dtype:
      class_label:
        names:
          '0': REFUTES
          '1': NOT ENOUGH INFO
          '2': SUPPORTS
  - name: evidence
    dtype: string
  - name: claim
    dtype: string
  splits:
  - name: train
    num_bytes: 2131310
    num_examples: 3626
  - name: validation
    num_bytes: 242530
    num_examples: 482
  - name: test
    num_bytes: 287437
    num_examples: 558
  download_size: 891646
  dataset_size: 2661277
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
language:
- en
pretty_name: CTKFacts for NLI - English translation
size_categories:
- 1K<n<10K
---

# CTKFacts for NLI - English translation

This is an English translation of the original [CTKFacts](https://huggingface.co/datasets/ctu-aic/ctkfacts_nli) dataset for NLI, created using the [WMT 21 X-En](https://huggingface.co/facebook/wmt21-dense-24-wide-x-en) model.

The translation was completed for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework. 
The script used for translation can be reviewed [here](https://gitlab.com/jirkoada/czech-bench/-/blob/main/benchmarks/dataset_translation.py?ref_type=heads).

## Citation

Original dataset:

```bibtex
@article{Ullrich_2023,
   title={CsFEVER and CTKFacts: acquiring Czech data for fact verification},
   volume={57},
   ISSN={1574-0218},
   url={http://dx.doi.org/10.1007/s10579-023-09654-3},
   DOI={10.1007/s10579-023-09654-3},
   number={4},
   journal={Language Resources and Evaluation},
   publisher={Springer Science and Business Media LLC},
   author={Ullrich, Herbert and Drchal, Jan and Rýpar, Martin and Vincourová, Hana and Moravec, Václav},
   year={2023},
   month=may,
   pages={1571–1605}
}
```

English translation:

```bibtex
@masterthesis{jirkovsky-thesis,
    author = {Jirkovský, Adam},
    title = {Benchmarking Techniques for Evaluation of Large Language Models},
    school = {Czech Technical University in Prague, Faculty of Electrical Engineering},
    year = 2024,
    URL = {https://dspace.cvut.cz/handle/10467/115227}
}
```