> ## Documentation Index
> Fetch the complete documentation index at: https://docs.learningcommons.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Learn what evaluator datasets are, how experts annotate them, and how to use these benchmarks to validate edtech content and guide research.

Evaluator datasets have been rigorously annotated by domain experts to act as a replicable and transparent benchmark for edtech developers across the field.

For example, the [Text Complexity dataset](./text-complexity) has been annotated by literacy experts and practitioners to:

* Codify expert judgment on text complexity
* Validate the accuracy of [Text Complexity evaluators](/evaluators/text-complexity-evaluators/introduction)

Use these evaluator datasets to guide product development, support research, and integrate best practices into your own edtech team's workflows.

## For more information

If you’d like to chat with our team about the dataset, methodology, or future plans, you can get in touch with us at [support@learningcommons.org](mailto:support@learningcommons.org) ↗.

## Related topics

<CardGroup cols={2}>
  <Card title="Text Complexity dataset" icon="database" href="/evaluators/dataset/text-complexity">
    Explore expert-annotated text complexity data for grades 3–4.
  </Card>

  <Card title="Core concepts" icon="lightbulb" href="/evaluators/understanding-evaluators/core-concepts">
    Learn how evaluator datasets inform accuracy and validation.
  </Card>
</CardGroup>