learning-commons-org/knowledge-graph
learning-commons-org/knowledge-graph has 168 GitHub stars and 23 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-13 07:53 UTC. Last push 2026-11-10.
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The data layer for smarter educational AI. Integrate trusted instructional content and research directly into your AI-powered tools — improving precision, relevance, and instructional alignment.
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README.md
OriginalKnowledge Graph

Learning Commons • Platform • Docs
What is Knowledge Graph?
Knowledge Graph is a structured collection of enriched educational datasets that connects academic standards, curricula, and learning science data. Datasets are modeled as graphs made up of entities (the elements in a dataset) and relationships (how those elements connect).
Knowledge Graph datasets use a standardized schema, so that edtech developers can build AI-powered tools without having to build a data pipeline themselves.
Check out common use cases and tutorials for Knowledge Graph.
Access Knowledge Graph
Knowledge Graph is database-neutral and interoperable. Start with the Quickstart, or pick an access method:
| Access method | When to use |
|---|---|
| Knowledge Graph Explorer | For visually exploring Knowledge Graph datasets in the browser |
| Agent plugins | For asking ChatGPT or Claude about Knowledge Graph data |
| Local files | For offline access and custom processing of Knowledge Graph data — download all data directly, or download by dataset using the Dataset catalog ↗ Can be used across graph databases, relational systems, in-memory tools, and AI pipelines without requiring any specialized infrastructure |
| REST API | For real-time programmatic access to Knowledge Graph data in an application |
| MCP server | For using Knowledge Graph data natively with an LLM |
Datasets
Knowledge Graph datasets are grouped into categories. Each category shares a schema. Each dataset covers a specific educational domain and includes one or more file downloads.
Download a dataset from its docs page below, or from the Dataset catalog. To download the full graph as JSONL (nodes.jsonl and relationships.jsonl), see Local files.
Access types: Open (freely downloadable), Open + Gated (some downloads open, others require approval), and Gated (approval required — contact [email protected]).
Standards
Official expectations for student learning across academic subjects and jurisdictions, plus durable skills and learner competencies. Schema: Standards.
| Dataset | Access | Downloads |
|---|---|---|
| U.S. academic standards | Open | Math, ELA, Social Studies, Science |
| U.S. academic standards crosswalks | Open | Math crosswalks, ELA crosswalks |
| English Language Development Standards Framework | Open | WIDA ELD Standards Framework |
| XQ Competencies | Open | XQ Competencies |
| Carnegie Skills Progressions | Open | Carnegie Skills Progressions |
Learning components
Granular skills or concepts that break academic standards into teachable parts. Schema: Learning components.
| Dataset | Access | Downloads |
|---|---|---|
| Math learning components | Open | Math learning components |
| ELA learning components | Open | ELA learning components |
| Eedi Misconceptions Graph | Open | Eedi Misconceptions Graph |
Learning progressions
How standards build towards and relate to each other. Schema: Learning progressions.
| Dataset | Access | Downloads |
|---|---|---|
| Math Coherence Map | Open | Math Coherence Map |
Curriculum
Standards-aligned lessons and assessments from a publisher. Schema: Curriculum.
| Dataset | Access | Downloads |
|---|---|---|
| IM® v.360 | Open + Gated | Scope and sequence (Open); Instructional materials (Gated); Assessment materials (Gated) |
| OpenSciEd | Gated | OpenSciEd curriculum (Gated) |
Instructional guidance
Grade- and subject-specific learner profiles, research-backed factors, and instructional strategies. Schema: Instructional guidance.
| Dataset | Access | Downloads |
|---|---|---|
| Learner Variability Navigator | Gated | Math models; Literacy models |
| English Learners Success Forum Guidelines | Open | Math guidelines; ELA guidelines; Science guidelines |
Additional resources
License
Use of Knowledge Graph is subject to our Terms of Use.
Knowledge Graph datasets are not all licensed the same way. Each dataset (and sometimes each download) is labeled Open, Open + Gated, or Gated:
- Open — Typically CC BY 4.0 (attribution required) or CC0
- Open + Gated — Includes both Open and Gated downloads (e.g., the IM® v.360 dataset's Scope and sequence is Open, while Instructional materials and Assessment materials are Gated)
- Gated — Not covered by an open license; requires approval and separate licensing agreement from the publisher
For the terms that apply to a specific dataset or download, reference that dataset’s page and the license docs.
Support
Questions or feedback: open an issue or email [email protected]. See also Support and release notes.
To report a security issue, contact [email protected].
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