cstr/conceptnet-de-indexed

ConceptNet 5 (Un-normalized SQLite, 23.6 GB)

This repository contains the complete, un-normalized ConceptNet 5.5 knowledge graph in SQLite format. Unlike the filtered version, this dataset includes all languages from the original ConceptNet release.

The database conceptnet-de-indexed.db is a 23.6 GB un-normalized SQLite file containing the full knowledge graph with all 28.3 million nodes and 34 million edges across all languages.

When to Use This Dataset

Use this dataset if you:

• Need access to all languages in ConceptNet (not just the 11 languages in the normalized version)
• Require the complete, unfiltered knowledge graph
• Are doing cross-linguistic research across many language pairs
• Need the original data structure for compatibility reasons

Use the normalized version (cstr/conceptnet-normalized-multi) if you:

• Only need 11 specific languages (en, fr, it, de, es, ar, fa, grc, he, la, hbo)
• Want faster query performance (normalized schema with integer keys)
• Need a smaller file size (~1.8 GB vs 23.6 GB)
• Prefer optimized, production-ready data

Dataset Description

This repository contains the conceptnet-de-indexed.db file, a large (23.6 GB) SQLite database of the ConceptNet 5.5 knowledge graph.

• Nodes: The node table contains 28.3 million nodes from all ConceptNet languages.
• Edges: The edge table contains 34 million un-filtered edges.
• Schema: This database is un-normalized. The edge table stores full text URLs for its start_id, end_id, and rel_id columns, resulting in its large size and slower query performance compared to normalized alternatives.
• Data Quality: This database contains all original edges, including both high-quality assertions (e.g., hund IsA raubtier) and low-quality metadata (e.g., hund IsA n).

Database Schema

node (28.3M rows)

• id (VARCHAR): The full ConceptNet URL (e.g., /c/en/dog/n).
• label (VARCHAR): The human-readable label.
• language (VARCHAR): The language code (e.g., en, de).
• sense_label (VARCHAR): e.g., n, v.
• term_id (VARCHAR): The URL without the POS tag (e.g., /c/en/dog).
• ...and other metadata columns.

relation (50 rows)

• id (VARCHAR): The relation URL (e.g., /r/IsA).
• label (VARCHAR): The relation name (e.g., IsA).
• symmetric (BOOLEAN): If the relation is symmetric.

edge (34M rows)

• id (VARCHAR): The unique edge URL.
• rel_id (VARCHAR): Foreign key (as text URL) to relation.id.
• start_id (VARCHAR): Foreign key (as text URL) to node.id.
• end_id (VARCHAR): Foreign key (as text URL) to node.id.
• weight (FLOAT): The edge weight.
• ...and other metadata columns.

Example Query

Note: Queries on this un-normalized database use text-based keys and may be slower than the normalized version.

import sqlite3
import pandas as pd

DB_PATH = "conceptnet-de-indexed.db"  # Or path from hf_hub_download
conn = sqlite3.connect(f"file:{DB_PATH}?mode=ro", uri=True)

query = """
SELECT
    e.start_id,
    e.end_id,
    e.weight
FROM edge e
WHERE
    e.start_id LIKE 'http://conceptnet.io/c/de/hund%'
    AND e.rel_id = 'http://conceptnet.io/r/IsA'
ORDER BY e.weight DESC
LIMIT 10;
"""

df = pd.read_sql_query(query, conn)
print(df)
conn.close()

Original Dataset Information

This work includes data from ConceptNet 5, which was compiled by the Commonsense Computing Initiative. ConceptNet 5 is freely available under the Creative Commons Attribution-ShareAlike license (CC BY SA 4.0) from http://conceptnet.io.

For a full list of licenses and attributions for included resources such as WordNet, Open Multilingual WordNet, and Wikimedia projects, please see the original dataset card.

Citation Information

If you use this data in your work, please cite the original ConceptNet 5.5 paper:

@inproceedings{speer2017conceptnet,
    author = {Robyn Speer and Joshua Chin and Catherine Havasi},
    title = {ConceptNet 5.5: An Open Multilingual Graph of General Knowledge},
    booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
    year = {2017},
    pages = {4444--4451},
    url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14972}
}