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Datasets:
ML-Jonibek
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Uzb-Eng-Translation-1

Tasks:
Translation
Modalities:
Text
Formats:
json
Languages:
English
Uzbek
Size:
1K - 10K
Tags:
translation
english
uzbek
literary
parallel-corpus
one-thousand-and-one-nights
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metadata 
language:
  - en
  - uz
license: cc0-1.0
task_categories:
  - translation
pretty_name: English-Uzbek Translation Dataset (One Thousand and One Nights)
size_categories:
  - 1K<n<10K
tags:
  - translation
  - english
  - uzbek
  - literary
  - parallel-corpus
  - one-thousand-and-one-nights

πŸ“– English ↔ Uzbek Literary Translation Dataset

Language Pair Domain Size License

🌟 Dataset Summary

This dataset contains parallel sentence pairs translated between English (EN) and Uzbek (UZ), extracted from the classic literary work One Thousand and One Nights (Ming bir kecha / Ω…ΫŒΩ†Ϊ― بیر Ϊ©ΫŒΪ†Ω‡).

The dataset is ideal for:

  • πŸ€– Training and fine-tuning Neural Machine Translation (NMT) models for the EN↔UZ language pair
  • πŸ“Š Benchmarking translation quality on literary text
  • πŸ” Linguistic research on English–Uzbek language structure
  • πŸ“š Low-resource language NLP development (Uzbek)

πŸ“‚ Dataset Structure 

Translation1_en_uz.jsonl

Each line is a JSON object with two fields:

Field Type Description
en string English source sentence/segment
uz string Uzbek translated sentence/segment

πŸ”Ž Example Entry 

{
  "en": "A good story belongs to the whole world.",
  "uz": "Yaxshi hikoya butun dunyoga tegishli."
}

{
  "en": "The stories known as the Thousand and One Nights are very old.",
  "uz": "\"Ming bir kecha\" nomi bilan tanilgan hikoyalar juda qadimiy."
}

πŸ“Š Dataset Statistics

Property Value
Format JSONL
Total pairs ~2,245
Source language English (en)
Target language Uzbek (uz)
Domain Literary / Classic
Text type Prose, narrative
Script (UZ) Latin (Uzbek Latin alphabet)

πŸ“– Source Material

πŸ›οΈ One Thousand and One Nights β€” an ancient collection of Middle Eastern folk tales compiled during the Islamic Golden Age.

Property Details
Title One Thousand and One Nights / Ming bir kecha
Origin 9th century CE
Publisher The Penn Publishing Company, Philadelphia, 1928
Source en.wikisource.org
Illustrator Virginia Frances Sterrett
Download www.aliceandbooks.com
License Public Domain (CC0 1.0)

πŸš€ Loading the Dataset

Using πŸ€— HuggingFace Datasets 

from datasets import load_dataset

dataset = load_dataset("ML-Jonibek/Translation1_en_uz", split="train")
print(dataset[0])
# {'en': 'A good story belongs to the whole world.', 
#  'uz': 'Yaxshi hikoya butun dunyoga tegishli.'}

Manual loading with Python 

import json

data = []
with open("Translation1_en_uz.jsonl", "r", encoding="utf-8") as f:
    for line in f:
        data.append(json.loads(line))

print(f"Total pairs: {len(data)}")
print(data[0])

🎯 Intended Use

βœ… Suitable for

  • Fine-tuning multilingual models (mBART, NLLB, mT5, etc.) on EN↔UZ
  • Creating Uzbek language corpora for NLP research
  • Training sequence-to-sequence translation models
  • Evaluating BLEU/chrF scores on literary Uzbek text

⚠️ Limitations

  • Text is literary in style β€” may not generalize well to news, technical, or conversational domains
  • Uzbek translations may reflect older translation conventions
  • Some segments are sentence fragments due to literary segmentation

πŸ’‘ Example Use Case: Fine-tuning with transformers 

from transformers import MarianMTModel, MarianTokenizer

model_name = "Helsinki-NLP/opus-mt-en-uz"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

texts = ["A good story belongs to the whole world."]
inputs = tokenizer(texts, return_tensors="pt", padding=True)
translated = model.generate(**inputs)
print(tokenizer.decode(translated[0], skip_special_tokens=True))

πŸ“œ License

This dataset is derived from public domain source material and is released under the Creative Commons Zero (CC0 1.0) license.

You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

πŸ™ Citation

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

@dataset{translation1_en_uz_2024,
  title     = {English-Uzbek Literary Translation Dataset (One Thousand and One Nights)},
  language  = {en, uz},
  source    = {One Thousand and One Nights, Penn Publishing Company, 1928},
  license   = {CC0 1.0 Universal},
  url       = {https://huggingface.co/datasets/your-username/Translation1_en_uz}
}

🀝 Contributing

Contributions, corrections, and improvements are welcome!
Feel free to open an issue or pull request on the dataset repository.

Made with ❀️ for the Uzbek NLP community πŸ‡ΊπŸ‡Ώ