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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
dtype: string
- name: source_topic
dtype: string
- name: sentence
dtype: string
- name: data_type
dtype: string
splits:
- 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-*
---
# π²π² Open Myanmar Data: Myanmar Kings & Historical Narrative Dataset
[](https://creativecommons.org/licenses/by/4.0/)
[](https://huggingface.co/datasets)
## π 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).
---
## π 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)
---
## π 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 (`α`) |
| `data_type` | String | Text category (`Historical Narrative`) |
---
## π‘ 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.
---
## π» 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)}}
}
|