# Dataset-genie

> Dataset-genie — k3nn3dy-ai-dataset-genie. Use this tool when you need to generate a fine-tuning dataset from a brief description, solving data preparation challenges for AI model training. It takes a two-sentence domain brief as input and produces an Unsloth-ready dataset through an eight-stage pipeline, outputting formatted data for various models like SFT, Alpaca, and DPO. Ideal for use cases requiring rapid dataset creation, Dataset-genie streamlines data preparation in a Docker environment.

Canonical page: https://skillsregistry.net/skills/k3nn3dy-ai-dataset-genie  
JSON: https://api.skillsregistry.net/v1/skills/k3nn3dy-ai-dataset-genie

## Description

Turn a two-sentence domain brief into an Unsloth-ready fine-tuning dataset. Eight-stage OpenRouter pipeline with LLM judge, human review and SFT / Alpaca / DPO / tool-calling / GRPO export. Runs in Docker.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/k3nn3dy-ai/Dataset-genie)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "k3nn3dy-ai-dataset-genie"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/k3nn3dy-ai-dataset-genie` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/k3nn3dy-ai-dataset-genie/pull`

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