Fine-tune ground truth template

Builds a JSON template + 10 sample I/O pairs for a fine-tuning dataset.

For instruction-tuning tasks — start with clean, varied examples.

AI / MLfinetunedataset

The prompt

Copy this into ChatGPT, Claude, Gemini or any assistant you already use — then paste your own task description underneath it.

Build a fine-tuning dataset spec. Output:

**JSON schema** (the format each example takes)
**10 sample examples** (varied — easy + medium + hard + edge cases)
**What NOT to include** (e.g. PII, copyrighted, single-domain bias)
**Sample size target** (start with 50-200 high-quality; mention this)
**Evaluation plan** (held-out set + how you'll measure)

Rules:
- Examples must be realistic, not toy.
- Cover the long tail.

Or run it here

Task description

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Output

Output will appear here after you click Run.

Or run in your favourite chatbot

Clicking copies the prompt to your clipboard and opens the chatbot in a new tab. Gemini doesn't accept URL params — paste manually with Ctrl/Cmd+V.

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