os-taxonomy
An open dataset maps primary and elementary learning into micro-topics, prerequisites, and curriculum standards. Use it to explore what children learn and how concepts build on one another.
Share on XLicense: ODbL-1.0
Overview
Marble Skill Taxonomy is an open dataset that organizes what children learn during primary and elementary years into small, teachable topics. It addresses the limits of flat standards lists by connecting 1,590 topics through 3,221 prerequisite relationships, with links to curriculum standards and age ranges. Each topic includes a description and evidence of mastery, and the dataset also provides domain summaries. Use the JSON files to explore learning sequences, inspect curriculum alignment, or build tools that represent a learner's progression.
Key features
- 1,590 micro-topics with descriptions, age ranges, subject and domain, and mastery evidence.
- A prerequisite graph with 3,221 hard or soft dependencies, each with a reason.
- Links from topics to source curriculum standards, including NGSS, Common Core, and the UK National Curriculum.
- 183 parent-friendly summaries organized by subject, domain, and age band.
Best for
Useful for educators, curriculum researchers, and developers who need structured primary-level learning data. Choose it to inspect prerequisites and standards alignment or to build tools around learning sequences.
- Upstream
- withmarbleapp/os-taxonomy
- Fork on GitHub
- Guo-astro/os-taxonomy
- Upstream stars
- 4.7k
- Category
- Learning, interviews and curated lists
- Language
- JavaScript
- License
- ODbL-1.0
- Forked
- 2026-10-04
- Sync status
- In syncLast synced 2026-10-05
More in Learning, interviews and curated lists
A curated list of books on large language models for engineers who want a focused reading path. It helps narrow the long list of LLM resources into practical, relevant titles and links.
Forked 2026-10-03Last synced 2026-10-05No license declaredLearning, interviews and curated listsGitHub
A curated reading list of engineering articles from top tech companies. It helps engineers learn how teams solve real-world scale, infrastructure, and system design problems.
Forked 2026-10-03Last synced 2026-10-05License: MITLearning, interviews and curated listsGitHub
A curated list of classic mathematics books, helping readers find influential texts and translations for study and reference.
Forked 2026-10-03Last synced 2026-10-05No license declaredLearning, interviews and curated listsGitHub
A step-by-step learning resource that explains LLM concepts, tokenization, and attention through linked articles and videos, helping readers understand how language models process text.
Forked 2026-10-03Last synced 2026-10-05License: Apache-2.0Learning, interviews and curated listsGitHub