> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Dataset Evaluators

> Attach evaluators to datasets for automatic scoring during experiments.

**Requires Phoenix 13.x.**

**Dataset evaluators** let you attach evaluators directly to a dataset so they automatically run server-side whenever you execute experiments from the Phoenix UI (for example, from the Playground). This turns your dataset into a reusable evaluation suite and removes the need to reconfigure evaluators for every experiment.

**Key capabilities:**

* **Attach once, evaluate everywhere:** Add LLM or built-in code evaluators to a dataset and reuse them across Playground experiments.
* **Flexible input mapping:** Map evaluator inputs to dataset fields so each example is evaluated consistently.
* **Built-in visibility:** Each evaluator captures traces for debugging and refinement, with details available from the evaluator view.

To get started, open a dataset, navigate to the **Evaluators** tab, click **Add evaluator**, configure your input mapping, and run an experiment from the Playground to see server-side scores and traces.