README.md

---
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

![License](https://img.shields.io/badge/License-MIT-yellow)
![Rows](https://img.shields.io/badge/Rows-54.6K-green)
![Format](https://img.shields.io/badge/Format-JSON-blue)

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](https://huggingface.co/datasets/amkyawdev/mm-llm-coder-agent-dataset)
- **code-skill.md** - [amkyawdev/mm-llm-coder-dataset](https://huggingface.co/datasets/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

```json
{
  "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

```python
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

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

## License

MIT License