Video · Text / AI & Machine Learning
Video Game Training Data for AI & Large Language Models (LLMs) | Structured Catalog Text, Taxonomy & Entity Labels
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Video Game Training Data for AI & Large Language Models (LLMs) | Structured Catalog Text, Taxonomy & Entity Labels is a video and text dataset. Relevant sectors: AI & Machine Learning, Education and Media & Entertainment. The listing mentions classification labels. Pricing is not published and is provided on request.
What the listing offers
- Listing mentions classification labels.
Language models know a lot about popular games and very little about everything else. They confuse regional titles, mix up ports and remasters, invent release dates, and struggle with the long tail of a medium that spans more than five decades and over a hundred platforms. Video Game Training Data for AI & LLMs gives model builders structured, labeled game data that is cleared for commercial AI and machine learning use. 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 Training-ready game data, organized around canonical works and linked through stable VGAMI identifiers: - Structured catalog text: consistent, factual descriptions of games, releases, platforms, and release details - Taxonomy: a single classification system for genres, platforms, and release types applied across the full catalog - Entity labels: games, platforms, developers, publishers, and franchises labeled as distinct entities with stable IDs - Relationships: typed links between games, including regional variants, ports, remasters, re-releases, and sequels WHY IT WORKS FOR AI - Commercially cleared: licensed for AI and machine learning use, so training data comes from a documented so
Technical specifications
- Modalities
- Video, Text
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- Domain
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- Use case
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Price on request
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