Datasets:

Arseniy-Sandalov
/

Georgian-Parallel-Corpora

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

🔗 Dataset Link

You can access the dataset here:

📊 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:

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}
}