Update README.md

README.md

@@ -1,4 +1,15 @@
 ---
+language:
+- my
+license: cc-by-4.0
+tags:
+- myanmar
+- burmese
+- history
+- nlp
+- text-classification
+- rag
+pretty_name: Open Myanmar Data - Myanmar Kings & Historical Narrative Dataset
 dataset_info:
   features:
   - name: row_id
@@ -13,11 +24,75 @@ dataset_info:
   - name: train
     num_bytes: 587678
     num_examples: 1242
-  download_size: 174897
-  dataset_size: 587678
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+    download_size: 174897
+    dataset_size: 587678
+  configs:
+  - config_name: default
+    data_files:
+    - split: train
+      path: data/train-*
 ---
+
+# 🇲🇲 Open Myanmar Data: Myanmar Kings & Historical Narrative Dataset
+
+[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Datasets-blue)](https://huggingface.co/datasets)
+
+## 📌 Dataset Summary
+This repository contains a clean, high-quality, sentence-segmented historical narrative dataset regarding Myanmar history, royal dynasties (Pagan, Toungoo, Konbaung), and notable historical figures extracted directly from Myanmar Wikipedia.
+
+Curated and cleaned by **Aung Ko Ko Oo** (Founder, Burmese NLP Research Group).
+
+---
+
+## 📊 Dataset Overview
+- **Total Sentences:** `1,242`
+- **Duplication Rate:** `0.00%` (100% unique clean sentences)
+- **Data Type:** `Historical Narrative`
+- **Source:** Myanmar Wikipedia (Attribution under CC BY-SA 4.0)
+
+---
+
+## 📂 Dataset Structure
+
+| Column | Data Type | Description |
+| :--- | :--- | :--- |
+| `row_id` | String | Unique identifier (e.g., `MY_HIST_00001`) |
+| `source_topic` | String | Wikipedia topic/entity title |
+| `sentence` | String | Clean Myanmar sentence ending with standard boundary (`။`) |
+| `data_type` | String | Text category (`Historical Narrative`) |
+
+---
+
+## 💡 Intended Use Cases
+1. **Retrieval-Augmented Generation (RAG):** Knowledge indexing for Burmese historical QA chatbots.
+2. **Sentence Embedding & Vector Search:** Benchmarking Burmese semantic similarity and clustering.
+3. **Information Extraction (IE):** Named Entity Recognition (NER) and Relation Extraction for Burmese history.
+
+---
+
+## 💻 How to Use
+
+### 1. Load via Hugging Face `datasets` Library
+```python
+from datasets import load_dataset
+
+# Load from Hugging Face Hub
+dataset = load_dataset("austin2029/open-myanmar-data")
+print(dataset['train'][0])
+
+import pandas as pd
+
+df = pd.read_csv("myanmar_kings/myanmar_kings_dataset.csv")
+print(df.head())
+
+@misc{open_myanmar_data_2026,
+  author = {Aung Ko Ko Oo},
+  title = {Open Myanmar Data: Myanmar Kings & Historical Narrative Dataset},
+  year = {2026},
+  publisher = {GitHub / Hugging Face},
+  howpublished = {\url{[https://github.com/Aung-Ko-Ko-Oo/open-myanmar-data](https://github.com/Aung-Ko-Ko-Oo/open-myanmar-data)}}
+}
+
+
+