---
license: cc-by-4.0
task_categories:
- translation
language:
- en
- nys
tags:
- machine-translation
- low-resource
- african-languages
- English
- Giriama
- agriculture
- bible
- parallel-corpus
pretty_name: English-Giriama Parallel Sentence Dataset
size_categories:
- 1K<n<10K
---
# 🗣️ English-Giriama Parallel Sentence Dataset

This dataset consists of sentence pairs in English and their corresponding translations in Giriama (Kigiryama), a Bantu language spoken primarily in coastal Kenya. It supports machine translation (MT) and other cross-lingual NLP tasks, especially in low-resource language research.

---

## 📋 Dataset Structure

Each row in the dataset contains:

- `English Sentence`: A sentence in standard English.
- `Giriama Translation`: The corresponding sentence translated into Giriama.

### Example:

| English Sentence                | Giriama Translation               |
|---------------------------------|-----------------------------------|
| Jesus was born in Judea.        | Yesu azhalwa mu Yudea.            |
| The crops need to be watered.   | Mihogo chikala kinywe chingonji.  |

---

## 📦 Dataset Details

- **Language Pair**: English ↔ Giriama (Kigiryama)
- **Number of Sentence Pairs**: _7820_  
- **Data Sources**:
  - The **Giriama New Testament corpus** (verse-aligned, literary/religious domain).
  - ~**600 domain-specific sentence pairs** focused on **agriculture and farming contexts**. These include vocabulary and expressions commonly used by field officers, farmers, and agri-extension services in rural Kenya.
- **Format**: CSV

---

## 🧑‍💻 Intended Use

- **Machine Translation (MT)** — English ↔ Giriama.
- **Low-resource language research** and fine-tuning.
- **Agricultural tech and rural communication tools**.
- **Cross-lingual representation learning**.
- **Language preservation and documentation**.

---

## 🚫 Limitations

- Religious text data (from the New Testament) may introduce stylistic or archaic tone in parts of the dataset.
- The dataset may not cover the full spectrum of informal or modern spoken Giriama.
- Agricultural entries were manually curated and may carry contextual assumptions.

---

## 🤝 Citation

If you use this dataset in your research or application, please cite it as:

```bibtex
@misc{english_giriama_dataset,
  title = {English-Giriama Parallel Sentence Dataset},
  author = {Lingua-Connect},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/English-Giriama-Dataset}}
}