---
license: cc-by-sa-4.0
task_categories:
- translation
language:
- en
- ka
pretty_name: English-Georgian Parallel Dataset
size_categories:
- 1K<n<10M
---

# English-Georgian Parallel Dataset 🇬🇧🇬🇪

## 📄 Dataset Overview
The **English-Georgian Parallel Dataset** is sourced from **OPUS**, a widely used open collection of parallel corpora. This dataset contains aligned sentence pairs in **English and Georgian**, extracted from Wikipedia translations.

- **Corpus Name**: Wikimedia
- **Package**: wikimedia.en-ka (Moses format)
- **Publisher**: OPUS (Open Parallel Corpus)
- **Release**: v20230407
- **Release Date**: April 13, 2023
- **License**: [CC–BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

## 🔗 Dataset Link
You can access the dataset here:  
[![Dataset Link](https://img.shields.io/badge/Dataset-Link-blue)](http://opus.nlpl.eu/wikimedia-v20230407.php)

## 📊 Dataset Description
This dataset consists of **English-Georgian** parallel sentences extracted from Wikipedia translations. It is useful for various **natural language processing (NLP)** tasks, such as:  
✅ Machine translation  
✅ Bilingual lexicon extraction  
✅ Cross-lingual NLP applications  
✅ Multilingual sentence alignment  

The dataset is formatted in Moses format, making it easy to integrate with NLP toolkits like OpenNMT, Fairseq, and MarianMT.

## 🚀 Usage Example
To use this dataset in Python, you can load it with `datasets` from Hugging Face:

```python
from datasets import load_dataset

dataset = load_dataset("Arseniy-Sandalov/Georgian-Parallel-Corpora")
print(dataset)
```

##📜 Citation
If you use this dataset in your research or project, please cite the following work:
```
@inproceedings {Tiedemann2012OPUS,
  author = {Tiedemann, J.},
  title = {Parallel Data, Tools and Interfaces in OPUS},
  booktitle = {Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)},
  year = {2012},
  url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf},
  note = {OPUS parallel corpus}
}
```