> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/8.-evaluate-score-the-outputs/evaluation-spaces.md).

# Evaluation spaces

A **space** is a saved evaluation configuration. Bundle a model selection, a dataset, and a scoring config. Re-run the space whenever you want to evaluate the same configuration against fresh data, a fresh prompt, or a new candidate model.

## Why spaces matter

Without spaces, every evaluation is a one-off — its config lives in someone's head or a runbook. Spaces formalize the configuration so:

* Anyone on the team can re-run with one click
* Run history is visible in one place
* Score-over-time charts make trends obvious

## Public vs private spaces

* **Public spaces** — curated by LayerLens and partners; visible to everyone
* **Private spaces** — scoped to your org

Both share the same shape.

## Space contents

* **Models** — one or more
* **Dataset / benchmark** — one
* **Scoring config** — scorers + judges
* **Optional schedule** — re-run cadence
* **Run history** — every run's results, with timestamps

## Cloning

You can clone a public space into a private space, then customize. Useful when a public space matches your shape and you want to swap in your own dataset or judges.

## When NOT to use a space

* You're exploring — one-off evaluations are simpler
* The configuration changes every run — a space is for stable configs

## Where to next

* [Stratix Premium — Spaces](/8.-evaluate-score-the-outputs/spaces.md)
* [Public evaluation spaces](/5.-select-pick-the-model/public-evaluation-spaces.md)
* [Evaluations](/8.-evaluate-score-the-outputs/evaluations-1.md)


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