Datasets:
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license: mit
task_categories:
- translation
language:
- en
- ka
pretty_name: English-Georgian Parallel Dataset
size_categories:
- 10K<n<100K
viewer: true
---
# 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:
[](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}
}
``` |