> 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/5.-select-pick-the-model/benchmarks.md).

# Benchmarks (Premium custom)

The Stratix Premium Benchmarks surface — public benchmarks plus your private datasets.

{% hint style="info" %}
**Available in Stratix Premium.** This surface is part of the logged-in workspace at [stratix.layerlens.ai](https://stratix.layerlens.ai). Stratix Public users can browse the catalog but cannot use this feature.
{% endhint %}

The Premium Benchmarks page mirrors the public catalog and adds **your private benchmark datasets** — datasets you've uploaded that are scoped to your org.

URL: [`stratix.layerlens.ai/dashboard/benchmarks`](https://stratix.layerlens.ai/dashboard/benchmarks)

## What you can do

* Browse all public benchmarks (52+)
* Browse your org's private benchmarks
* Upload a new private dataset as a benchmark
* View score history per benchmark across all your runs
* Create a new evaluation directly from a benchmark page

## Uploading a private benchmark

A private benchmark has:

* **Name and description** — for your team's context
* **Dataset** — CSV, JSONL, or Parquet with input column + expected-output column (or other schema)
* **Scoring config (optional)** — default scorers/judges to apply when this benchmark is selected for an evaluation

Upload from the Benchmarks page → **Upload private benchmark**.

## Per-benchmark page (private)

For your private benchmarks:

* Dataset preview (first 50 rows)
* Schema (input → expected output mapping)
* Score history of your evaluations against this benchmark
* "Run new evaluation against this benchmark" shortcut

## Where to next

* [Stratix Public — Benchmarks catalog](/5.-select-pick-the-model/benchmarks-catalog.md)
* [Evaluations](/8.-evaluate-score-the-outputs/evaluations.md)
* [Concept: Models and benchmarks](/5.-select-pick-the-model/models-and-benchmarks.md)