---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: az_en
    path: data/az_en-*
  - split: az_fr
    path: data/az_fr-*
  - split: az_ru
    path: data/az_ru-*
dataset_info:
  features:
  - name: source
    dtype: string
  - name: target
    dtype: string
  splits:
  - name: az_en
    num_bytes: 37429
    num_examples: 100
  - name: az_fr
    num_bytes: 40516
    num_examples: 100
  - name: az_ru
    num_bytes: 41822
    num_examples: 100
  download_size: 77947
  dataset_size: 119767
language:
- az
- en
- fr
- ru
task_categories:
- translation
size_categories:
- n<1K
---

# Azerbaijan Multilingual Translation Benchmark

This dataset provides parallel text data for benchmarking machine translation quality between Azerbaijani (az) and multiple target languages:

- Azerbaijani-English (az_en)
- Azerbaijani-French (az_fr) 
- Azerbaijani-Russian (az_ru)

## Structure

The dataset contains three splits, one for each language pair:

- `az_en`: Azerbaijani-English translation pairs
- `az_fr`: Azerbaijani-French translation pairs
- `az_ru`: Azerbaijani-Russian translation pairs

Each split has the same structure with two columns:
- `source`: Text in Azerbaijani
- `target`: Text in the target language (English, French, or Russian)

## Usage

```python
from datasets import load_dataset

# Load the entire dataset
dataset = load_dataset("LocalDoc/az_multilingual_pairs")

# Access specific language pairs
az_en_data = dataset["az_en"]
az_fr_data = dataset["az_fr"]
az_ru_data = dataset["az_ru"]

# Example of accessing the first entry
print(az_en_data[0])
```

## Purpose

This dataset is designed for benchmarking translation quality between Azerbaijani and multiple languages. It can be used to evaluate machine translation systems, multilingual models, and language-specific capabilities for low-resource language pairs.