---
license: mit
task_categories:
- translation
- token-classification
language:
- ur
- en
- zh
- ar
- hy
- ak
tags:
- nmt
- parallel-corpus
- multilingual
- urdu
- large-scale
- bitext
- synthetic-data
pretty_name: Vast Urdu Parallel Corpus
---

# Vast Urdu Parallel Corpus

## Dataset Description
**Vast-Urdu** is a large-scale collection of parallel text corpora specifically filtered to support Urdu (UR) language research. This dataset was extracted from the `liboaccn/nmt-parallel-corpus` to provide a dedicated resource for Neural Machine Translation (NMT), cross-lingual understanding, and token-classification tasks involving Urdu.

### Source Data
The data is sourced from a massive web-scale crawl, containing sentence-aligned pairs between Urdu and several other languages including:
* **English (en)**
* **Chinese (zh)**
* **Arabic (ar)**
* **Armenian (hy)**
* **Akan (ak)**

## Dataset Structure
The files are provided in `.parquet` format for efficient storage and fast loading. Each file represents a language pair (e.g., `en-ur.parquet`), containing:
- **Source text**: The text in the primary language.
- **Target text**: The corresponding translation in Urdu (or vice-versa).

## Usage
You can load this dataset directly using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("ReySajju742/Vast-Urdu", data_files="en-ur.parquet")
print(dataset['train'][0])