Datasets:
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---
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. |