Datasets:

amkyawdev
/

myanmar-llm-data

license: mit
language:
  - my
  - en
multilinguality: multilingual
size_categories: n_100_to_n_1K
datasets:
  - amkyawdev/myanmar-llm-data
tags:
  - burmese
  - myanmar
  - conversational-ai
  - chat
  - nlp

Myanmar LLM Data - chat-skill.md

A comprehensive Burmese (Myanmar) conversational dataset for training language models. This dataset contains multi-turn conversations covering various domains.

Skill Type: Chat/Skill

This dataset is part of the combined Myanmar LLM dataset collection:

chat-skill.md - Myanmar conversational data, translations, Q&A
agent-skill.md - amkyawdev/mm-llm-coder-agent-dataset
code-skill.md - amkyawdev/mm-llm-coder-dataset

Overview

This dataset contains multi-turn conversations in Burmese and English covering:

💻 Coding: Programming conversations (Python, JavaScript, React, etc.)
🌐 Translation: English to Burmese translations
📚 General: General knowledge Q&A in Burmese
👋 Greetings: Burmese greeting phrases

Dataset Statistics

Split	Samples
Train	~20,327
Test	~17,155
Validation	~17,071
Total	~54,553

Data Format

{
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "How are you?"},
    {"role": "assistant", "content": "I'm doing well, thank you!"}
  ],
  "tags": "greeting"
}

Usage

from datasets import load_dataset

dataset = load_dataset("amkyawdev/myanmar-llm-data")

# Access sample
sample = dataset["train"][0]
print("Messages:", sample["messages"])
print("Tags:", sample["tags"])

Use Cases

Fine-tune LLMs: Train models like phi-2, Llama, Mistral
Chatbots: Build Myanmar conversational AI
Translation: English ↔ Myanmar translation
RAG: Build retrieval systems for Myanmar content

License

MIT License