Datasets:
initial version of README
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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language:
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- en
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- uz
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- uzs
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pretty_name: lutfiy
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size_categories:
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- 10K<n<100K
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license: mit
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task_categories:
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- translation
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tags:
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- lutfiy
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- southern uzbek
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- afghani uzbek
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---
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# Lutfiy: Southern Uzbek Parallel Corpus for Translation
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This repository contains a parallel corpus for the Southern Uzbek language, developed as part of the research paper "Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek".
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## Dataset Description
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The Southern Uzbek Parallel Corpus is a collection of approximately 40,000 sentence pairs, designed to support machine translation tasks involving the Southern Uzbek language. It includes:
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- Northern Uzbek - Southern Uzbek (37,415 pairs)
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- English - Southern Uzbek (2,579 pairs)
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## Usage
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This dataset is intended for training and evaluating machine translation models involving the Southern Uzbek language.
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To load and use dataset, run this script:
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```python
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from datasets import load_dataset
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lutfiy_corpus = load_dataset("tahrirchi/lutfiy", split='train')
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```
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## Dataset Structure
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### Data Instances
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- **Size of downloaded dataset files:** 5.3 MB
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- **Size of the generated dataset:** 4.9 MB
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- **Total amount of disk used:** 10.2 MB
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An example from the corpus looks as follows.
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```
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{'src_sent': "Bolakay ko'kka boqib, to'rg'ay hazratning boshi ustida aylanib sayrayotganini ko'rdi.",
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'tgt_sent': 'بالهکهی کۉککه باقیب، تۉرغهی حرضتنینگ باشی اوستیده ایلهنیب َسیرهیاتگنینی کۉردی.',
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'src_lang': 'uzn_Latn',
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'tgt_lang': 'uzs_Arab',
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'source': 'books'}
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```
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### Data Fields
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The data fields are the same among all splits.
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- `src_lang`: a `string` feature that contains source language.
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- `src_sent`: a `string` feature that contains sentence in source language.
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- `tgt_lang`: a `string` feature that contains target language.
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- `tgt_sent`: a `string` feature that contains sentence in target language.
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- `source`: a `string` feature that contains source information of the pair.
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## Data Sources
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The corpus comprises diverse parallel texts sourced from multiple domains:
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- 90% sentences from books (novels, non-fiction)
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- 6% sentences from internet websites
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- 4% sentences from bilingual dictionaries
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## Data Preparation
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The data mining process involved local mining techniques, ensuring that parallel sentences were extracted from translations of the same book, document, or article. Sentence alignment was performed using LaBSE (Language-agnostic BERT Sentence Embedding) embeddings.
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## Contacts
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We believe that this work will enable and inspire all enthusiasts around the world to open the hidden beauty of low-resource languages, in particular Southern Uzbek.
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For further development and issues about the dataset, please use m.mamasaidov@tahrirchi.uz or a.shopolatov@tahrirchi.uz to contact.
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