Create README.md

README.md

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+# 🗣️ 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**: _[insert number]_  
+- **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}}
+}