| | --- |
| | license: other |
| | license_name: commercial |
| | license_link: https://hanzo.ai/contact |
| | language: |
| | - en |
| | tags: |
| | - agentic |
| | - coding |
| | - llm |
| | - training |
| | - claude |
| | - programming |
| | size_categories: |
| | - 1B<n<10B |
| | --- |
| | |
| | # Zen Agentic Dataset |
| |
|
| | **8.47 Billion Tokens** of real-world agentic AI programming, blockchain development, and cutting-edge infrastructure code. |
| |
|
| | ## Dataset Overview |
| |
|
| | A comprehensive training dataset combining Claude Code interactions with full git history from 1,400+ repositories spanning 15 years of professional development. |
| |
|
| | | Metric | Value | |
| | |--------|-------| |
| | | **Total Tokens** | 8.47 billion | |
| | | **Training Samples** | 3.35 million | |
| | | **Validation Samples** | 100,000 | |
| | | **Total Size** | ~27 GB | |
| | | **Repositories** | 1,452 | |
| | | **Time Span** | 15 years (2010-2025) | |
| |
|
| | ## Data Composition |
| |
|
| | | Component | Tokens | Percentage | |
| | |-----------|--------|------------| |
| | | Claude Code Debug Sessions | 2.42B | 29% | |
| | | Claude Conversations | 1.14B | 13% | |
| | | Claude Interactions | 0.86B | 10% | |
| | | Git History | 4.03B | 48% | |
| |
|
| | ## Domain Coverage |
| |
|
| | ### Agentic AI & LLM Infrastructure |
| | - Model Context Protocol (MCP) - 260+ tool implementations |
| | - Multi-agent orchestration - Claude, GPT-4, Gemini integrations |
| | - Agent frameworks - Planning, memory, tool use, reflection |
| |
|
| | ### Web3 & Blockchain |
| | - Smart contracts - Solidity, Vyper (ERC20, ERC721, DeFi) |
| | - Consensus engines - Snow family, BFT, DAG-based protocols |
| | - Cross-chain bridges and DeFi protocols |
| |
|
| | ### Cryptography & Security |
| | - Post-quantum cryptography implementations |
| | - Threshold cryptography and MPC |
| | - Zero-knowledge proofs experimentation |
| |
|
| | ### Modern Development |
| | - Full-stack TypeScript - Next.js 14+, React 18+ |
| | - Systems programming - Rust, Go, Python, C/C++ |
| | - DevOps - Docker, Kubernetes, CI/CD |
| |
|
| | ## Licensing & Access |
| |
|
| | **This dataset is available for research and commercial licensing.** |
| |
|
| | ### For Developers & Researchers |
| |
|
| | We award grants to individuals and teams who want to train models on this dataset, particularly those building: |
| | - Models for specific blockchain ecosystems |
| | - Open-source AI tools using OpenAI-compatible protocols |
| | - Research advancing agentic AI capabilities |
| |
|
| | ### To Request Access |
| |
|
| | **Contact:** z@hanzo.ai |
| |
|
| | Please include: |
| | - Intended use case (training, research, evaluation) |
| | - Organization/affiliation |
| | - Target ecosystem (if applicable) |
| | - Licensing requirements |
| |
|
| | ### Supported Organizations |
| |
|
| | Dataset mirrors are maintained by: |
| | - [Hanzo AI](https://hanzo.ai) - AI infrastructure platform |
| | - [Lux Network](https://lux.network) - AI compute settlement layer |
| | - [Zen LM](https://zenlm.org) - Open model research |
| | - [Zoo Labs](https://zoo.ngo) - Decentralized AI research |
| |
|
| | ## Models Trained on This Dataset |
| |
|
| | | Model | Size | Architecture | Status | |
| | |-------|------|--------------|--------| |
| | | Zen Coder 4B | 4B | Qwen3 | Trained | |
| | | Zen Coder 24B | 24B | Devstral Small 2 | Trained | |
| | | Zen Coder 123B | 123B | Devstral 2 | Training | |
| | | Zen Coder Max | 358B | GLM-4.7 (MoE) | Planned | |
| | | Zen Coder Ultra | 1T | Kimi K2 (MoE) | Planned | |
| |
|
| | ## Training Framework |
| |
|
| | Use [Zen Trainer](https://github.com/zenlm/zen-trainer) for fine-tuning: |
| |
|
| | ```python |
| | from zen_trainer import ZenTrainer |
| | |
| | trainer = ZenTrainer( |
| | model_key="qwen3-4b", |
| | dataset_path="hanzoai/zen-agentic-dataset-private", # Requires access |
| | output_dir="./output/my-model", |
| | ) |
| | trainer.train() |
| | ``` |
| |
|
| | ## Related Projects |
| |
|
| | - [Zen Trainer](https://github.com/zenlm/zen-trainer) - Training framework |
| | - [Hanzo MCP](https://github.com/hanzoai/mcp) - Model Context Protocol (260+ tools) |
| | - [Hanzo AI](https://hanzo.ai) - AI infrastructure platform |
| | - [Lux Network](https://lux.network) - AI compute settlement layer |
| | - [Zoo Labs](https://zoo.ngo) - Decentralized AI research |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @dataset{zen_agentic_dataset, |
| | author = {Kelling, Zach}, |
| | title = {Zen Agentic Dataset: 8.47B Tokens of Agentic AI Programming}, |
| | year = {2025}, |
| | publisher = {Zoo Labs Foundation}, |
| | url = {https://huggingface.co/datasets/hanzoai/zen-agentic-dataset} |
| | } |
| | ``` |
| |
|
| | --- |
| |
|
| | **Maintainer:** z@hanzo.ai |
| | **License:** Commercial - Contact for licensing terms |
| |
|
