---
license: openrail++
dataset_info:
  features:
  - name: premise
    dtype: string
  - name: hypothesis
    dtype: string
  - name: labels
    dtype: int64
  splits:
  - name: train
    num_bytes: 107441017
    num_examples: 549361
  - name: validation
    num_bytes: 2029907
    num_examples: 9842
  - name: test
    num_bytes: 2025559
    num_examples: 9824
  download_size: 27765800
  dataset_size: 111496483
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- text-classification
language:
- uk
pretty_name: ukr-nli
---
## Ukrainian NLI (translated)
We obtained the first of its kind Ukrainian Natural Language Inference Dataset by trainslating English NLI data.


## Dataset formation:
1. English data source: https://nlp.stanford.edu/projects/snli/
2. Translation into Ukrainian language using model: https://huggingface.co/facebook/nllb-200-distilled-600M

Labels: 0 - entailment, 1 - neutral, 2 - contradiction.

## Load dataset: 
```
from datasets import load_dataset
dataset = load_dataset("ukr-detect/ukr-nli-dataset-translated-stanford") 
```

## Citation
```
@article{dementieva2024ukrainian,
  title={Ukrainian Texts Classification: Exploration of Cross-lingual Knowledge Transfer Approaches},
  author={Dementieva, Daryna and Khylenko, Valeriia and Groh, Georg},
  journal={arXiv preprint arXiv:2404.02043},
  year={2024}
}
```