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---
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license: cc0-1.0
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---
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# Wikidata Extraction
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This dataset contains all RDF triples extracted from the latest Wikidata, converted from the N-Triples format to Parquet.
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The data originates from [Wikidata](https://www.wikidata.org/), 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.
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The code to extract this data is available at [github.com/piebro/wikidata-extraction](https://github.com/piebro/wikidata-extraction).
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## Schema
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Each row represents a single RDF triple with four columns:
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| Column | Type | Description |
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|-------------|--------|--------------------------------------------------------------------|
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| `subject` | string | The entity being described (typically a Wikidata Q-ID URL) |
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| `predicate` | string | The property or relationship (typically a Wikidata P-ID URL) |
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| `object` | string | The value, which can be another entity, literal, or external ID |
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| `language` | string | Language tag for literals (e.g., "en", "de"), null otherwise |
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### Example Values
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```
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subject: http://www.wikidata.org/entity/Q42
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predicate: http://www.w3.org/2000/01/rdf-schema#label
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object: Douglas Adams
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language: en
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```
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This triple means: "Q42 (Douglas Adams) has the English label 'Douglas Adams'".
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```
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subject: http://www.wikidata.org/entity/Q42
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predicate: http://www.wikidata.org/prop/direct/P31
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object: http://www.wikidata.org/entity/Q5
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language: null
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```
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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.
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## Data Organization
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### Triplets
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The `triplets/` folder contains the raw RDF triples partitioned into Parquet files (`triplets/*.parquet`).
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### Extractions
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The `extractions/` folder contains extracted lookup tables and themed datasets:
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| File | Description |
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|------|-------------|
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| `entity_labels.parquet` | Maps entities to their labels |
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| `predicate_labels.parquet` | Maps predicates to their labels and descriptions |
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| `music/spotify_artist.parquet` | Spotify artist data |
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| `music/spotify_album.parquet` | Spotify album data |
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| `music/spotify_track.parquet` | Spotify track data |
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| `video/youtube_channel.parquet` | YouTube channel data |
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| `video/youtube_video.parquet` | YouTube video data |
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| `video/letterboxd_film.parquet` | Letterboxd film data |
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| `social/bluesky.parquet` | Bluesky account data |
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| `social/subreddit.parquet` | Subreddit data |
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| `social/patreon.parquet` | Patreon creator data |
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| `book/goodread_book.parquet` | Goodreads book data |
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| `book/gutenberg_book.parquet` | Project Gutenberg book data |
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| `other/github.parquet` | GitHub repository data |
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| `other/website.parquet` | Website data |
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| `other/non_profit_organization.parquet` | Non-profit organization data |
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## Usage
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Query the dataset using any Parquet-compatible tool (DuckDB, Pandas, Polars, etc.):
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### Find All Properties of an Entity
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```python
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import duckdb
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df = duckdb.sql("""
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SELECT *
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FROM 'triplets/*.parquet'
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WHERE subject = 'http://www.wikidata.org/entity/Q42'
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""").df()
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print(df)
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```
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### Look Up Entity Labels
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```python
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import duckdb
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entity_ids = ["Q42", "Q5", "Q64"]
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entity_uris = [f"http://www.wikidata.org/entity/{e}" for e in entity_ids]
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df = duckdb.sql(f"""
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SELECT entity, label
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FROM 'extractions/entity_labels.parquet'
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WHERE entity IN {tuple(entity_uris)}
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""").df()
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print(df)
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```
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## License
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Wikidata content is available under [CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/).
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