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 short_description: Sinhala. Intelligence. Future.
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-  <img src="https://cdn-uploads.huggingface.co/production/uploads/64b9eda7f602541ef76c6f26/-uuai4ingQKJH0Grq3y8e.jpeg" alt="SynhalaAI Banner" height="180">
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 # 🇱🇰 SynhalaAI
 
 > **Sinhala. Intelligence. Future.**  
-> *Advancing Open-Source AI for Sinhala & Singlish (Romanized Sinhala).*
+> *Advancing high-quality open-source AI models, datasets, and evaluation suites for Sinhala & Singlish.*
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+  <img src="https://cdn-uploads.huggingface.co/production/uploads/64b9eda7f602541ef76c6f26/-uuai4ingQKJH0Grq3y8e.jpeg" alt="SynhalaAI Banner" height="180">
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-Welcome to **SynhalaAI** (by **SKY PRODUCTION**). We build state-of-the-art open-source LLMs, SFT datasets, evaluation benchmarks, and linguistic tools optimized for Sri Lanka's unique cultural, social, and digital landscape.
+Welcome to the official **SynhalaAI** Hugging Face organization. We are dedicated to bridging the gap in Sinhala Natural Language Processing (NLP) by building cultural-aligned datasets, safety evaluation benchmarks, and specialized AI models.
 
-### 🌟 What We Do
-* 🧬 **Synhala SFT Datasets:** Custom personality-driven and general SFT datasets (both single & multi-turn).
-* 📊 **SynhalaEes Benchmark:** The standard 16-category evaluation suite for testing Sinhala LLMs.
-* 🛠️ **Linguistic Tools:** Python utilities for quality checking, data compilation, and data cleaning.
+### 📁 Primary Projects & Repositories
 
-### 📜 Our License
-All our research and assets are published under the **SynhalaAI Open Research License (SORL v1.0)**.
+*   **`SynhalaEes Benchmark`** – The industry-standard 16-task evaluation suite for testing LLM accuracy, safety, and cultural nuances in Sinhala & Singlish.
+*   **`Synhala SFT Datasets`** – High-quality instruction-tuning datasets for general AI and custom persona-based AI agents.
+*   **`Linguistic Utilities`** – Open-source Python libraries for dataset compiling, quality checking, and cleaning.
 
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-🔗 **[GitHub Repository](https://github.com/SynhalaAI)** | 📊 **[Kaggle Space](https://www.kaggle.com/datasets/skyproduction/synhalaees)**
+🔗 **GitHub:** [SynhalaAI](https://github.com/SynhalaAI) | 📊 **Kaggle:** [SynhalaEes Benchmark](https://www.kaggle.com/datasets/skyproduction/synhalaees)