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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 Student-Facing Text dataset has been annotated by literacy experts and practitioners to: 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 ↗.

Student-Facing Text dataset

Explore expert-annotated text complexity data for grades 3–4.

Core concepts

Learn how evaluator datasets inform accuracy and validation.