---
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
---

# 📖 English ↔ Uzbek Literary Translation Dataset

![Language Pair](https://img.shields.io/badge/Language%20Pair-EN%20↔%20UZ-blue?style=for-the-badge) ![Domain](https://img.shields.io/badge/Domain-Literary-purple?style=for-the-badge) ![Size](https://img.shields.io/badge/Size-~2200%20pairs-green?style=for-the-badge) ![License](https://img.shields.io/badge/License-CC0%201.0-orange?style=for-the-badge)

---

## 🌟 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 / مینگ بیر کیچه).

The dataset is ideal for:
- 🤖 Training and fine-tuning **Neural Machine Translation (NMT)** models for the EN↔UZ language pair
- 📊 **Benchmarking** translation quality on literary text
- 🔍 **Linguistic research** on English–Uzbek language structure
- 📚 **Low-resource language** NLP development (Uzbek)

---

## 📂 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  |

### 🔎 Example Entry

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

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

---

## 📊 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) |

---

## 📖 Source Material

> 🏛️ *One Thousand and One Nights* — 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](https://en.wikisource.org)           |
| **Illustrator** | Virginia Frances Sterrett                             |
| **Download** | [www.aliceandbooks.com](https://www.aliceandbooks.com)   |
| **License**  | Public Domain (CC0 1.0)                                  |

---

## 🚀 Loading the Dataset

### Using 🤗 HuggingFace Datasets

```python
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

```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

### ✅ 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** — 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

---

## 💡 Example Use Case: Fine-tuning with `transformers`

```python
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))
```

---

## 📜 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.

---

## 🙏 Citation

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

```bibtex
@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.

---

<p align="center">
  Made with ❤️ for the Uzbek NLP community 🇺🇿
</p>