learning-commons-org · lixuczi · Dec 22, 2025 · Dec 22, 2025 · Dec 22, 2025 · Dec 22, 2025
diff --git a/.DS_Store b/.DS_Store
diff --git a/README.md b/README.md
@@ -1,9 +1,7 @@
 <img style="width:100%" alt="knowledge_graph_banner" src="https://raw.githubusercontent.com/learning-commons-org/.github/refs/heads/main/assets/kg_hero.png" />
 
 <p align="center">
-  <a href="https://docs.learningcommons.org/knowledge-graph/v1-1-0/getting-started/download-the-data/" target="_blank">Getting set up</a>
-  •
-  <a href="https://docs.learningcommons.org/knowledge-graph/v1-1-0/getting-started/tutorials/tutorial-overview" target="_blank">Tutorials</a>
+  <a href="https://docs.learningcommons.org/knowledge-graph/v1-3-0/getting-started/download-the-data/" target="_blank">Getting set up</a>
 </p>
 
 
@@ -17,90 +15,57 @@ Key use cases include:
 * **Compare state standards**: Adapt content aligned to one state standard to other states, initially in math across Common Core State Standards and 15+ additional states  
 * **Curriculum alignment:** Align your content or create additional materials aligned to curriculum (private-beta access only \- details below on how to join)
 
-Knowledge Graph is distributed as CSV and JSON export files, making it accessible without specialized infrastructure. These files reflect a graph-based model, allowing developers to work with the data in relational databases or other environments. This structure enables rich querying and supports AI-enhanced educational applications.
+Knowledge Graph is distributed as graph-native JSONL export files, making it accessible without specialized infrastructure. These files directly represent the underlying graph model, enabling developers to work with the data in graph databases, while remaining easy to ingest with standard data-processing tools. Developers can load the data into graph databases for relationship-centric querying or transform it for use in relational databases and data pipelines. This structure enables rich querying and supports AI-enhanced educational applications.
 
 For complete setup instructions and usage examples, see the [full docs](https://docs.learningcommons.org/knowledge-graph/).
 
 ## **Repository contents**
 
 | Path | Description |
 | :---- | :---- |
-| [import\_scripts/](./import_scripts/) | Helper scripts to import Knowledge Graph data into relational databases |
-| [sample\_queries/](./sample_queries/) | Example SQL queries for exploring Knowledge Graph data |
-| [tutorials/](./tutorials/) | Standalone example apps to demonstrate how Knowledge Graph data could be applied to solve different use cases |
 | [LICENSE](./LICENSE.md) | Open source license details |
 
 ##  **Quick Start**
 
-**v1.2.0 will be the final version where Knowledge Graph can be downloaded as CSV flat files. Starting from v1.3.0 onwards, Knowledge Graph will be accessible as graph-native JSON flat files and we’ll be starting to grant access to our REST API in early 2026. Any CSV and JSON flat files that were previously downloaded will be unaffected.**
-
-The knowledge graph data is available for download in both CSV and JSON formats. The graph data is exported with each file representing a specific entity type, and a relationships file capturing the connections between entities.
-
-**CSV files:** UTF-8 encoded with comma delimiters and quoted fields. All CSV files include header rows with column names.
-
-**JSON files:** Newline delimited JSON format with UTF-8 encoding.
+The Knowledge graph data is available for download in newline delimited jsonl format with UTF-8 encoding. The graph data is exported with nodes.jsonl representing the nodes of the knowledge graph and the relationships.jsonl file capturing the connections between nodes.
 
 ## Files
 
-* `StandardsFramework`: Educational standards frameworks  
-* `StandardsFrameworkItem`: Individual standards and learning objectives within frameworks  
-* `LearningComponent`: Granular, precise representations of individual skills or concepts 
-* `Relationships`: Connections and associations between all entity types
+* `nodes.jsonl`: This file contains graph node records, defining each node by a unique identifier, labels, and a set of associated properties.
+* `relationships.jsonl`: This file contains graph relationship records, describing how nodes are connected, including the relationship type, properties, and the source and target nodes.
 
 ## Download options
 
-There are two options to download the files: direct s3 links, or using curl commands.
+There are two options to download the files: direct links, or using curl commands.
 
-### Direct S3 links  
+### Direct links  
 
 Click links to download files directly. Files will download to your browser's default location (typically `~/Downloads`).
 
-**CSV files:**  
-- [StandardsFramework.csv](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/StandardsFramework.csv?ref=github)  
-- [StandardsFrameworkItem.csv](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/StandardsFrameworkItem.csv?ref=github)  
-- [LearningComponent.csv](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/LearningComponent.csv?ref=github)  
-- [Relationships.csv](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/Relationships.csv?ref=github)
-
-**For SQL database imports:** Move the downloaded CSV files to `/tmp/kg-data/` to use the import scripts without modification:
-
-```bash
-mkdir -p /tmp/kg-data
-mv ~/Downloads/StandardsFramework.csv ~/Downloads/StandardsFrameworkItem.csv ~/Downloads/LearningComponent.csv ~/Downloads/Relationships.csv /tmp/kg-data/
-```  
-
-**JSON files:**  
-- [StandardsFramework.json](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/StandardsFramework.json?ref=github)  
-- [StandardsFrameworkItem.json](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/StandardsFrameworkItem.json?ref=github)  
-- [LearningComponent.json](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/LearningComponent.json?ref=github)  
-- [Relationships.json](https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/Relationships.json?ref=github)  
+- [nodes.jsonl](https://cdn.learningcommons.org/knowledge-graph/v1.3.0/exports/nodes.jsonl?ref=github)  
+- [relationships.jsonl](https://cdn.learningcommons.org/knowledge-graph/v1.3.0/exports/relationships.jsonl?ref=github)  
 
 ### Using curl commands  
 
 If you don't have `curl` installed, see [installation instructions](https://github.com/curl/curl).  
 
-**Recommended**: Download files to `/tmp/kg-data/` for compatibility with the SQL import scripts:
-
 ```bash
-# Create directory and download CSV files
-mkdir -p /tmp/kg-data
-cd /tmp/kg-data
-
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/StandardsFramework.csv?ref=gh_curl" -o StandardsFramework.csv
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/StandardsFrameworkItem.csv?ref=gh_curl" -o StandardsFrameworkItem.csv
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/LearningComponent.csv?ref=gh_curl" -o LearningComponent.csv
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/csv/Relationships.csv?ref=gh_curl" -o Relationships.csv
+curl -L "https://cdn.learningcommons.org/knowledge-graph/v1.3.0/exports/nodes.jsonl?ref=gh_curl" -o nodes.jsonl
+curl -L "https://cdn.learningcommons.org/knowledge-graph/v1.3.0/exports/relationships.jsonl?ref=gh_curl" -o relationships.jsonl
 ```
+
+## Querying with jq
+
+One option to query the JSONL files is using [jq](https://jqlang.github.io/jq/). Example to extract Common Core math standards:
+
 ```bash
-# Download JSON files
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/StandardsFramework.json?ref=gh_curl" -o StandardsFramework.json
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/StandardsFrameworkItem.json?ref=gh_curl" -o StandardsFrameworkItem.json
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/LearningComponent.json?ref=gh_curl" -o LearningComponent.json
-curl -L "https://aidt-knowledge-graph-datasets-public-prod.s3.us-west-2.amazonaws.com/knowledge-graph/v1.2.0/json/Relationships.json?ref=gh_curl" -o Relationships.json
+jq -c 'select((.labels | contains(["StandardsFrameworkItem"])) and .properties.jurisdiction == "Multi-State" and .properties.academicSubject == "Mathematics")' nodes.jsonl > common_core_math_standards.jsonl
 ```
 
-### **Next steps**
-
-This quick start walked you through how to download Knowledge Graph so you can start using it. You can explore next steps under [import\_scripts/](./import_scripts/), [sample\_queries/](./sample_queries/) and [tutorials/](./tutorials/).
+This filters for nodes with:
+- Label: `StandardsFrameworkItem`
+- Jurisdiction: `Multi-State` (Common Core)
+- Academic Subject: `Mathematics`
 
 ## **Support & Feedback**
 

diff --git a/import_scripts/.DS_Store b/import_scripts/.DS_Store
diff --git a/import_scripts/mysql/README.md b/import_scripts/mysql/README.md
diff --git a/import_scripts/mysql/create_tables.sql b/import_scripts/mysql/create_tables.sql
diff --git a/import_scripts/mysql/load_data.sql b/import_scripts/mysql/load_data.sql
diff --git a/import_scripts/postgresql/README.md b/import_scripts/postgresql/README.md