os-taxonomy: An open graph connecting 1,845 elementary learning topics and 3,941 prerequisites

This dataset structures the elementary curriculum as a connected graph rather than a simple list. It defines 1,845 micro-topics across 9 subjects and represents 3,941 prerequisite relationships between topics as a Directed Acyclic Graph (DAG). Individual concepts are broken down into the smallest teachable units, such as 'sentence construction' or 'apparent brightness of stars,' with each entry including a plain-language description and criteria for evidence of mastery.

Each micro-topic is mapped to major international standards such as NGSS, Common Core, and the UK National Curriculum. Prerequisites are categorized as 'hard' and 'soft,' with a one-line reason provided for why the prerequisite knowledge is necessary. Additionally, it includes instructional research records for 1,049 topics and 176 domain summaries for parents, which can be utilized for instructional design and learning path tracking.

Unlike existing educational data that is often a flat list or locked within specific products, this repository publishes all data in UTF-8 JSON format. The data/ folder separates nodes and edges, standard mappings, and cluster summaries, making it immediately applicable for developing custom learning platforms or adaptive education systems. The schema and checksums are clearly defined, facilitating data integrity verification.

This is suitable for developers who need to track individual learner histories or trace back the prerequisite knowledge chains required to understand specific concepts. It serves as a useful foundational resource for EdTech startups or teams building curriculum analysis tools to develop products based on a standardized learning graph.