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withmarbleapp/os-taxonomy

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最終コミットの鮮度

S

最終コミットから 16 日

直近のコミット頻度

B

週平均 2.3 コミット (直近4週)

Issue クローズ率

D

11% (1/9)

Issue 平均応答時間

D

応答データなし

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README: あり / License: Open Data Commons Open Database License v1.0

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D

リリースなし

README

Marble Skill Taxonomy

An open, structured taxonomy of what children learn across the primary/elementary years — decomposed into fine-grained "micro-topics", wired into a prerequisite graph, and aligned to national curriculum standards. Produced by Marble.

Version: v1 · Topics: 1,590 · Prerequisite edges: 3,221 · Subjects: 8

See it

The taxonomy as a rotating 3D graph: every dot a micro-topic, colored by subject, wired by prerequisites

Every dot is a micro-topic, colored by subject; height is age; each thread is a prerequisite (full-quality video). Explore it interactively at withmarble.com/curriculum — tap any concept to trace everything a learner must master before it.

What this is

Most curriculum data is either a flat list of standards or locked inside a product. This dataset is a connected graph of learning:

  • 1,590 micro-topics — a single, teachable idea (e.g. "Building sentences", "Apparent brightness of stars"), each with a plain-language description, mastery evidence criteria, a type (conceptual / procedural / representational / language / meta), a subject + domain, and an approximate age range.
  • 3,221 prerequisite dependencies — a directed acyclic graph: "topic X depends on prerequisite Y", each edge tagged hard/soft and carrying a one-line reason.
  • Curriculum alignment — each micro-topic links to the standards it was distilled from (NGSS, Common Core, the UK National Curriculum, and more).
  • Domain clusters — 183 parent-friendly one-paragraph summaries per (subject, domain, age band).

Subjects

SubjectTopics
Science547
Mathematics503
English286
History90
Personal & Social Development88
Life Skills37
Computing21
Learning to Learn18

Files

All data lives in data/ as UTF-8 JSON. See schema/ for JSON Schemas and manifest.json for counts + SHA-256 checksums.

FileWhat it holds
data/topics.jsonThe micro-topics (graph nodes).
data/dependencies.jsonPrerequisite edges (topicId depends on prerequisiteId).
data/curriculum-standards.jsonThe source curriculum standards, grouped by curriculum.
data/clusters.jsonParent-friendly domain summaries.
data/manifest.jsonCounts, per-subject breakdown, per-file checksums.

A topic

{
  "id": "mt_N8CpN1EJrP",
  "type": "CONCEPTUAL",
  "subject": "English",
  "domain": "Grammar & Punctuation",
  "name": "Building sentences",
  "description": "Understand that words combine to make sentences — a sentence expresses a complete thought…",
  "ageRangeStart": 4,
  "ageRangeEnd": 6,
  "centrality": 0.257,
  "evidence": [
    "Distinguish between complete sentences and fragments",
    "Compose a complete sentence with a subject and verb"
  ],
  "assessmentPrompt": "If {{name}} says something like \"The dog\", can they tell you that's not a complete sentence…?",
  "standards": ["ccss-ela:L.K.1f", "uk-nc-2013:Eng.App2.Y1.Sent.1"]
}
  • id — stable identifier (mt_…), referenced by dependencies and by neighbours.
  • standards — keys into curriculum-standards.json ("<curriculum-slug>:<code>").
  • assessmentPrompt — a natural-language check for the idea. Contains a {{name}} placeholder (the child's name); substitute or strip before display.

A dependency

{ "topicId": "mt__00ZSLnB7p", "prerequisiteId": "mt_VBl1T1sFCM", "strength": "hard",
  "reason": "Must understand vibrations make sound before finding volume patterns" }

topicId depends on prerequisiteId. Reverse the edge to get "unlocks".

Using it

Pure data — no runtime, no dependencies. Load the JSON and go.

import topics from './data/topics.json' with { type: 'json' };
import deps from './data/dependencies.json' with { type: 'json' };

const byId = new Map(topics.topics.map(t => [t.id, t]));
const prereqs = deps.dependencies
  .filter(d => d.topicId === 'mt_N8CpN1EJrP')
  .map(d => byId.get(d.prerequisiteId).name);

Validate structure + referential integrity:

node scripts/validate.mjs

License

This dataset is multi-licensed — read this before you use or redistribute it.

LayerLicense
The database — the collection, structure, IDs, topic↔topic and topic↔standard relationshipsODbL 1.0 — free for research and commercial use, attribution required, share-alike (derivative databases must stay open under ODbL).
The textual content Marble authored — topic description/name/evidence/assessmentPrompt, dependency reasons, cluster summarysCC BY-SA 4.0 — same spirit: attribution + share-alike.
curriculum-standards.json — extracted from third-party frameworksNot Marble's to relicense. Each source is under its own upstream license — see PROVENANCE.md.

Why share-alike + still commercial-friendly: ODbL distinguishes a derivative database (extend/modify the taxonomy → must stay open) from a produced work (use it inside a product, model, or app → stays yours). So you can build a commercial product on this without open-sourcing your product; you only owe back improvements to the taxonomy itself.

Attribution

Any use must credit:

Marble Skill Taxonomy (v1) · © Generative Spark, Inc. (Marble) · https://withmarble.com · licensed under ODbL 1.0 (database) and CC BY-SA 4.0 (content).

Plus the upstream notices in PROVENANCE.md for any curriculum standards you use. See CITATION.cff for a formal citation.

What's not here

Deliberately excluded from this release: semantic embeddings (derived, recomputable) and any per-child / user data (never published). See CHANGELOG.md.

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