Datasets:
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license:
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---
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license: cc-by-sa-4.0
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task_categories:
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- translation
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language:
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- en
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- ka
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pretty_name: English-Georgian Parallel Dataset
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size_categories:
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- 1K<n<10M
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---
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# English-Georgian Parallel Dataset π¬π§π¬πͺ
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## π Dataset Overview
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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.
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- **Corpus Name**: Wikimedia
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- **Package**: wikimedia.en-ka (Moses format)
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- **Publisher**: OPUS (Open Parallel Corpus)
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- **Release**: v20230407
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- **Release Date**: April 13, 2023
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- **License**: [CCβBY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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## π Dataset Link
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You can access the dataset here:
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[](http://opus.nlpl.eu/wikimedia-v20230407.php)
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## π Dataset Description
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This dataset consists of **English-Georgian** parallel sentences extracted from Wikipedia translations. It is useful for various **natural language processing (NLP)** tasks, such as:
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β
Machine translation
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β
Bilingual lexicon extraction
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β
Cross-lingual NLP applications
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β
Multilingual sentence alignment
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The dataset is formatted in Moses format, making it easy to integrate with NLP toolkits like OpenNMT, Fairseq, and MarianMT.
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## π Usage Example
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To use this dataset in Python, you can load it with `datasets` from Hugging Face:
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```python
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from datasets import load_dataset
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dataset = load_dataset("Arseniy-Sandalov/Georgian-Parallel-Corpora")
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print(dataset)
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```
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##π Citation
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If you use this dataset in your research or project, please cite the following work:
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```
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@inproceedings {Tiedemann2012OPUS,
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author = {Tiedemann, J.},
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title = {Parallel Data, Tools and Interfaces in OPUS},
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booktitle = {Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)},
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year = {2012},
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url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf},
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note = {OPUS parallel corpus}
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}
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```
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