---
language:
- en
- ur
multilinguality: translation
size_categories:
- 10K<n<100K
task_categories:
- translation
pretty_name: English-Urdu Parallel Corpus
tags:
- urdu
- english
- parallel-corpus
- machine-translation
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ur
  splits:
  - name: train
    num_examples: 88926
  - name: validation
    num_examples: 1000
  - name: test
    num_examples: 1000
---

# English–Urdu Parallel Corpus

A sentence-aligned parallel corpus of about 91K English–Urdu pairs, intended for training and evaluating machine translation models in either direction (en→ur or ur→en).

## Dataset Structure

Each example has an `id` and a `translation` dictionary with the two languages:

```json
{
  "id": "test-0",
  "translation": {
    "en": "There is no counting children newly orphaned by the quake, but aid groups estimate the number in tens of thousands.",
    "ur": "زلزلے سے نو یتیم ہونے والے کوئی گنتی کرنے والے بچے نہیں ہیں ، لیکن امدادی گروپوں نے اس تعداد کا اندازہ دسیوں ہزاروں میں لگایا ہے۔"
  }
}
```

| Split      | Pairs  |
|------------|--------|
| train      | 88,926 |
| validation | 1,000  |
| test       | 1,000  |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("YOUR_USERNAME/english-urdu-parallel")
print(ds["train"][0]["translation"]["en"])
print(ds["train"][0]["translation"]["ur"])
```

## Content

The text covers a mix of domains, including news, European Parliament proceedings, general conversational sentences, and Urdu proverbs and idioms paired with their English meanings. Sentences average roughly 13 words in English and 16 words in Urdu.

## Preprocessing

The corpus was built from two line-aligned text files (100,000 lines each). The following cleaning was applied: whitespace was normalized; broken character encodings in the English text (e.g. `’`) were repaired; pairs whose Urdu side contained no Urdu script (57) or whose English side contained Urdu script (35) were removed; and exact duplicate pairs (8,982) were removed. 

## Citation

If you use this dataset, please cite this repository.