ML-Jonibek/English-Uzbek-Translation-1

🌐 English–Uzbek Translation Dataset

A parallel corpus for English ↔ Uzbek machine translation, curated to support research and development of NLP models for the Uzbek language — one of the most underrepresented Turkic languages in open-source datasets.

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📖 Dataset Description

This dataset contains aligned sentence pairs in English and Uzbek, designed for training, fine-tuning, and evaluating neural machine translation (NMT) models. The dataset aims to bridge the resource gap for Uzbek in the NLP community.

• Languages: English (en) → Uzbek (uz)
• Task: Machine Translation (seq2seq / text-to-text)
• Script: Latin (Uzbek uses the reformed Latin alphabet)

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📊 Dataset Structure

Data Fields

Field	Type	Description
en	string	Source sentence in English
uz	string	Target sentence in Uzbek

Data Splits

Split	Examples
train	25k

📝 Exact counts will be updated after final data versioning.

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🚀 Usage

Load with 🤗 Datasets

from datasets import load_dataset

dataset = load_dataset("ML-Jonibek/English-Uzbek-Translation-1")

# Access training split
train_data = dataset["train"]


### Fine-tune a Translation Model

```python
from transformers import MarianMTModel, MarianTokenizer

model_name = "Helsinki-NLP/opus-mt-en-trk"  # or any seq2seq model
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

# Tokenize
inputs = tokenizer("Hello world", return_tensors="pt", padding=True)
translated = model.generate(**inputs)
print(tokenizer.decode(translated[0], skip_special_tokens=True))

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🌍 Why Uzbek?

Uzbek is spoken by over 35 million people worldwide, yet it remains severely underrepresented in machine translation research. Quality parallel corpora for Uzbek are rare, making this dataset a valuable contribution to:

• Neural Machine Translation (NMT)
• Cross-lingual transfer learning
• Uzbek language model development
• Multilingual NLP benchmarks

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📁 Source & Data Collection

The sentence pairs were collected and curated from publicly available sources. The dataset focuses on:

• General-purpose conversational text
• News and informational content
• Everyday language and expressions

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⚙️ Preprocessing

• Sentences were deduplicated
• Encoding normalized to UTF-8
• Whitespace and punctuation cleaned
• Aligned pairs verified for translation quality

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📈 Intended Uses

Use Case	Suitable?
Training NMT models	✅
Fine-tuning multilingual models (mBART, NLLB, M2M-100)	✅
Evaluation / benchmarking	✅
Cross-lingual embeddings	✅

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⚠️ Limitations

• The dataset may not cover all domains equally (e.g., legal, medical).
• Dialectal variations in Uzbek (Tashkent vs. regional dialects) may not be fully represented.
• Machine-translated or auto-aligned samples (if any) may contain noise.

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🙏 Citation

If you use this dataset in your research, please cite it as:

@dataset{english-uzbek-dataset,
  author    = {ML-Jonibek},
  title     = {English–Uzbek Translation Dataset},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/ML-Jonibek/English-Uzbek-Translation-1}
}

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👤 Author

Created and maintained by ML-Jonibek.
Contributions, corrections, and feedback are welcome via the community tab.

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Made with ❤️ for the Uzbek NLP community