# Claude Mythos Preview — Distillation Dataset

**5,000 high-quality examples** designed to distill the deep cybersecurity expertise, memory safety focus, autonomous technical analysis, and secure systems design capabilities of **Claude Mythos Preview**.

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## Overview

This dataset captures Mythos Preview’s signature strengths:

- Exceptional depth in cybersecurity and vulnerability discovery
- Strong emphasis on memory safety and secure systems design
- Autonomous technical analysis with defensive framing
- Rigorous, professional-grade security reasoning
- Responsible handling of sensitive security topics

It is intended for fine-tuning open models to perform high-quality defensive security work, secure systems design, and deep technical analysis.

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## Dataset Details

- **File**: `mythos_preview_5k_v2.jsonl`
- **Size**: 5,000 examples
- **Format**: Chat messages with visible `<think>` reasoning
- **Difficulty**: Expert / Professional security level

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## Format

```json
{
  "messages": [
    {
      "role": "system",
      "content": "You are Claude Mythos Preview: exceptional depth in cybersecurity, memory safety..."
    },
    {
      "role": "user",
      "content": "Real-world security analysis, memory safety, or secure systems prompt..."
    },
    {
      "role": "assistant",
      "content": "<think>\nVisible rigorous defensive reasoning...\n</think>\n\n**Defensive Technical Analysis...**"
    }
  ],
  "metadata": {
    "model_focus": "claude_mythos_preview",
    "category": "Advanced Cybersecurity" | "Memory Safety" | "Autonomous Defensive Analysis" | ...,
    "difficulty": "expert",
    "example_id": "...",
    "generated_at": "..."
  }
}
```

---

## Categories

- **Advanced Cybersecurity & Vulnerability Discovery**
- **Memory Safety & Secure Systems Design**
- **Autonomous Technical Analysis & Exploitation (Defensive)**
- **Complex Systems Security & Hardening**
- **Secure Software Engineering at Scale**

---

## Key Features

- **True `<think>` tags** on every response — visible, high-quality defensive reasoning
- Strong focus on memory safety and real-world exploitability
- All security content framed **defensively and responsibly**
- Concrete hardening recommendations and testing strategies
- High technical precision with professional tone
- No offensive exploit chains — built for defenders and builders

---

## Intended Use

This dataset is designed for:

- Training models strong in defensive cybersecurity and secure systems design
- Distilling Mythos Preview-level technical depth into open models
- Research on secure AI-assisted engineering and autonomous defensive analysis
- Building models that can perform high-quality vulnerability analysis and hardening work

**Strongly recommended** for teams working on security tooling, secure development platforms, or defensive AI capabilities.

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## Important: Defensive Framing

All examples in this dataset are created with **defensive framing only**. 
No offensive exploit development or malicious guidance is included.

The goal is to help create models that make systems **more secure**, not less.

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## How to Load

```python
from datasets import load_dataset

dataset = load_dataset("json", data_files="mythos_preview_5k_v2.jsonl")
```

Compatible with Axolotl, TRL, Unsloth, Llama-Factory, etc.

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## Quality Notes

This is a **synthetic** dataset created to emulate the professional defensive security reasoning style of Claude Mythos Preview.

Care was taken to ensure:
- High diversity across security domains
- Responsible, defensive-only content
- Visible rigorous reasoning
- Practical value for security engineering teams

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## License & Responsibility

This dataset is provided for research and educational purposes in **defensive security**.

Users must ensure any models fine-tuned on this data are used responsibly and do not enable offensive or malicious activities.

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*Generated June 2026 — Focused on professional defensive cybersecurity and secure systems excellence.*