Building and evaluating AI for K-12 education requires open, well-documented resources. Today they are scattered across research repositories, model hubs, and competition platforms, with no single place to find them.
This scanner is our working inventory of those resources. It tracks openly available datasets, benchmarks, models, and competitions relevant to K-12 education, recording what each one covers, which grade levels and subjects it addresses, how it is licensed, and where it came from. It refreshes automatically each month as new resources are published.
It is a starting point, not a finished map. If you know of a resource that belongs here, or maintain one yourself, we would like to hear about it.
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