amkyawdev/mm-llm-code-v3

Combined Myanmar LLM Model

A comprehensive dataset combining three Myanmar-related datasets for training large language models, optimized for code generation and Myanmar language understanding.

English | မြန်မာဘာသာ

---

English

Overview

This dataset combines three source datasets for training LLMs with Myanmar language and coding capabilities:

Source	Dataset	Description	Type	Samples
chat-skill.md	amkyawdev/myanmar-llm-data	Myanmar conversations, translations, Q&A	Chat/Skill	~54,553
agent-skill.md	amkyawdev/mm-llm-coder-agent-dataset	Agent workflow for coding tasks	Agent/Skill	~1,000,020
code-skill.md	amkyawdev/mm-llm-coder-dataset	Code generation and debugging	Code/Skill	~2,000,000

Total Samples: ~3,020,347

Data Sources

1. chat-skill.md - Myanmar LLM Data (amkyawdev/myanmar-llm-data)

Multi-turn conversations in Burmese and English:

• Format: messages (role + content), tags
• Link: View Dataset

2. agent-skill.md - Coder Agent Dataset (amkyawdev/mm-llm-coder-agent-dataset)

Agent workflows with tool usage:

• Format: Agent workflows with tools_used, code_snippets, execution_result
• Link: View Dataset

3. code-skill.md - Coder Dataset (amkyawdev/mm-llm-coder-dataset)

Code generation and debugging tasks:

• Format: Code Q&A conversations
• Link: View Dataset

Features

• Myanmar Language Support: Native Burmese (မြန်မာစာ) conversations and translations
• Code Generation: Python, JavaScript, TypeScript and other programming languages
• Agent Workflows: Multi-step coding tasks with tool usage
• Quality Metrics: Ratings, validation status, and complexity scores

Usage

from datasets import load_dataset

# Load chat-skill dataset (Myanmar conversations)
chat_ds = load_dataset("amkyawdev/myanmar-llm-data")
print("Chat data:", chat_ds)

# Load agent-skill dataset (Agent workflows)
agent_ds = load_dataset("amkyawdev/mm-llm-coder-agent-dataset")
print("Agent data:", agent_ds)

# Load code-skill dataset (Code generation)
code_ds = load_dataset("amkyawdev/mm-llm-coder-dataset")
print("Code data:", code_ds)

# Access specific samples
chat_sample = chat_ds["train"][0]
print("Messages:", chat_sample["messages"])
print("Tags:", chat_sample["tags"])

Use Cases

• Myanmar Language Models: Train LLMs that understand Burmese
• Code Generation: Train models for programming tasks
• Agent Workflows: Train coding agents with tool usage
• Debugging: Fix common coding errors
• Multilingual Tasks: Translation between English and Myanmar

License

Apache 2.0 License

---

မြန်မာဘာသာ

အနှစ်ချူပါ

ဒီ dataset သည် မြန်မာစာ နှင့် ကုဒ်ရေးလုပ်တဲ့ LLM များကို လေ့ကျင့်ဖို့အတွက် dataset ၃ ခုကို ပေါင်းစပ်ထားပါ။

Source	Dataset	Description	Samples
chat-skill.md	amkyawdev/myanmar-llm-data	မြန်မာစာပါးဆက်	~54,553
agent-skill.md	amkyawdev/mm-llm-coder-agent-dataset	Agent workflow	~1,000,020
code-skill.md	amkyawdev/mm-llm-coder-dataset	ကုဒ်ထုတ်လုပ်ခြင်း	~2,000,000

ပါဝင်မှု စုစုပါး: ~3,020,347

သုံးပါ

from datasets import load_dataset

chat_ds = load_dataset("amkyawdev/myanmar-llm-data")
agent_ds = load_dataset("amkyawdev/mm-llm-coder-agent-dataset")
code_ds = load_dataset("amkyawdev/mm-llm-coder-dataset")

License

Apache 2.0 License