README.md

---
license: mit
task_categories:
- translation
language:
- en
- vi
- bah
tags:
- translation
- multilingual
- bahnar
- vietnamese
- english
size_categories:
- 10K<n<100K
---

# EnViBa Dataset

This dataset contains parallel translations between three languages:
- **Bahnar** (bah): An Austroasiatic language spoken in Vietnam and Cambodia
- **English** (en)
- **Vietnamese** (vi)

## Dataset Structure

The dataset contains three splits:
- `train`: Training data
- `test`: Test data  
- `validation`: Validation data

Each example has three fields:
- `bahnar`: Text in Bahnar language
- `english`: Text in English
- `vietnamese`: Text in Vietnamese

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("21uyennt/enviba")

# Access different splits
train_data = dataset["train"]
test_data = dataset["test"]
validation_data = dataset["validation"]

# Example usage
for example in train_data:
    print("Bahnar:", example["bahnar"])
    print("English:", example["english"])
    print("Vietnamese:", example["vietnamese"])
    print("---")
```

## Languages

- **Bahnar**: An Austroasiatic language with approximately 174,000 speakers
- **English**: Global lingua franca
- **Vietnamese**: Official language of Vietnam

This dataset enables multilingual translation research and can be used for training translation models between these language pairs.