license: cc0-1.0
Wikidata Extraction
This dataset contains all RDF triples extracted from the latest Wikidata, converted from the N-Triples format to Parquet.
The data originates from Wikidata, a free and open knowledge base that acts as central storage for structured data used by Wikipedia and other Wikimedia projects. The source file is the "truthy" N-Triples dump (latest-truthy.nt.bz2), which contains only the current, non-deprecated statements.
The code to extract this data is available at github.com/piebro/wikidata-extraction.
Schema
Each row represents a single RDF triple with four columns:
| Column | Type | Description |
|---|---|---|
subject |
string | The entity being described (typically a Wikidata Q-ID URL) |
predicate |
string | The property or relationship (typically a Wikidata P-ID URL) |
object |
string | The value, which can be another entity, literal, or external ID |
language |
string | Language tag for literals (e.g., "en", "de"), null otherwise |
Example Values
subject: http://www.wikidata.org/entity/Q42
predicate: http://www.w3.org/2000/01/rdf-schema#label
object: Douglas Adams
language: en
This triple means: "Q42 (Douglas Adams) has the English label 'Douglas Adams'".
subject: http://www.wikidata.org/entity/Q42
predicate: http://www.wikidata.org/prop/direct/P31
object: http://www.wikidata.org/entity/Q5
language: null
This triple means: "Q42 (Douglas Adams) is an instance of (P31) Q5 (human)". The language is null because the object is a URI, not a language-tagged literal.
Data Organization
Triplets
The triplets/ folder contains the raw RDF triples partitioned into Parquet files (triplets/*.parquet).
Extractions
The extractions/ folder contains extracted lookup tables and themed datasets:
| File | Description |
|---|---|
entity_labels.parquet |
Maps entities to their labels |
predicate_labels.parquet |
Maps predicates to their labels and descriptions |
music/spotify_artist.parquet |
Spotify artist data |
music/spotify_album.parquet |
Spotify album data |
music/spotify_track.parquet |
Spotify track data |
video/youtube_channel.parquet |
YouTube channel data |
video/youtube_video.parquet |
YouTube video data |
video/letterboxd_film.parquet |
Letterboxd film data |
social/bluesky.parquet |
Bluesky account data |
social/subreddit.parquet |
Subreddit data |
social/patreon.parquet |
Patreon creator data |
book/goodread_book.parquet |
Goodreads book data |
book/gutenberg_book.parquet |
Project Gutenberg book data |
other/github.parquet |
GitHub repository data |
other/website.parquet |
Website data |
other/non_profit_organization.parquet |
Non-profit organization data |
Usage
Query the dataset using any Parquet-compatible tool (DuckDB, Pandas, Polars, etc.):
Find All Properties of an Entity
import duckdb
df = duckdb.sql("""
SELECT *
FROM 'triplets/*.parquet'
WHERE subject = 'http://www.wikidata.org/entity/Q42'
""").df()
print(df)
Look Up Entity Labels
import duckdb
entity_ids = ["Q42", "Q5", "Q64"]
entity_uris = [f"http://www.wikidata.org/entity/{e}" for e in entity_ids]
df = duckdb.sql(f"""
SELECT entity, label
FROM 'extractions/entity_labels.parquet'
WHERE entity IN {tuple(entity_uris)}
""").df()
print(df)
License
Wikidata content is available under CC0 1.0 Universal.