# ConceptNet

Code for building ConceptNet from raw data.

Repository: https://github.com/commonsense/conceptnet5
Canonical: https://ross.abutalabs.com/products/conceptnet
Language: Roff
License: NOASSERTION
License Family: other
Last push: 2023-01-19T13:53:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5460, "days_push": 1322, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2953, forks 357 (observed 2026-08-28T04:07:32.088629+00:00)

## What it is
ConceptNet is a large multilingual commonsense knowledge graph linking over 13 million concepts across many natural languages, distributed under a Creative Commons license. This repository contains the Python toolset for building ConceptNet 5 from raw data, plus the HTML interface and JSON Web API for serving it.

## Use cases
- find commonsense relationships between words and concepts
- get multilingual semantic knowledge for NLP models
- build a custom knowledge graph from my own data
- query a semantic network via a JSON API
- download pretrained word embeddings like Numberbatch
- use commonsense knowledge as input for machine learning on text

## When to choose
- you need broad, multilingual commonsense knowledge for NLP or ML research
- you want to build a customized knowledge graph from your own data sources
- you need pretrained semantic embeddings (ConceptNet Numberbatch) for downstream models

## When to avoid
- you only need to query ConceptNet - use the public Web API instead of building it yourself
- you lack the required resources (30 GB RAM, Unix environment) for the build process
- you need up-to-date, actively developed tooling - the project is in maintenance mode

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, machine-learning, search-engine, api-framework, etl
- domain: artificial-intelligence, machine-learning, databases, apis
- platform: python, cli
- tags: knowledge-graph, commonsense-knowledge, semantic-network, multilingual, word-embeddings, numberbatch, natural-language-processing, linux, web-server

## Member repositories
- commonsense/conceptnet5 (main) score 32
- commonsense/conceptnet-numberbatch (plugin) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:32.088629+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:32:37.211494+00:00, confidence not recorded.
  - readme: https://github.com/commonsense/conceptnet5 (fetched 2026-08-28T04:07:32.088629+00:00, sha 683d5687a257)
- Data as of 2026-08-30T08:39:29.467469+00:00.