Global Video Game Catalog Database | Physical & Digital Titles - 1971–Present | Canonical Game Metadata Gaming Data
Overview
Global Video Game Catalog Database | Physical & Digital Titles - 1971–Present | Canonical Game Metadata Gaming Data is a video dataset. Typical applications include document understanding & OCR. Relevant sectors: AI & Machine Learning, Education and Media & Entertainment. The listing mentions classification labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions classification labels.
Every game catalog starts with the same problem: there is no single, reliable list of what games exist. Storefronts only show what they sell, community databases vary in quality, and platform catalogs stop at their own hardware. The Global Video Game Catalog Database brings physical and digital releases from more than five decades of gaming together in one consistent, structured catalog. This dataset is part of the VGAMI dataset created by GAMACY. VGAMI COVERAGE - 185,000+ titles - 120+ platforms - 55+ years of gaming, from 1971 to present - 9M+ structured data points across the full VGAMI dataset The data point total spans all VGAMI data products combined. Counts vary by title and by dataset, so ask us for the figures specific to this product. WHAT IT CONTAINS Each game record carries structured catalog metadata, organized around a canonical work so the same game is described the same way everywhere it appears: - Core identity: canonical title, alternate and regional titles, and stable VGAMI identifiers - Release details: platform, region, release date, and format (physical or digital) - Credits and classification: publisher, developer, and genre - Release relationships: links between originals, ports, remasters, regional variants, and re-releases STAYS CURRENT VGAMI is not a closed historical archive. New releases are added as they reach the market, including new titles, ports, remasters, and reissues on current platforms. Each is linked to its canonical work, so the catalo
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More in Video & Physical AI →Snowflake Marketplace Video Game Dataset | Query-Ready Canonical Catalog | Gaming Data
Game data is only useful once it is loaded, cleaned, and joined to everything else.
- Language
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Document understanding & OCR
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