# leomaurodesenv/game-datasets

:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games

Repository: https://github.com/leomaurodesenv/game-datasets
Canonical: https://ross.abutalabs.com/products/game-datasets
License: CC-BY-4.0
License Family: other
Topics: game, dataset, database, games, data-mining, artificial-intelligence, awesome-list, awesome, awesome-game
Last push: 2026-08-08T01:57:45+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2892, "days_push": 26, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1109, forks 82 (observed 2026-08-28T04:03:37.235423+00:00)

## What it is
A curated awesome-list of game datasets, APIs, tools, and resources for applying artificial intelligence and data mining to digital games. It guides researchers and developers in finding data and materials to build game-related AI applications or datasets.

## Use cases
- find datasets for game AI research
- locate APIs for game stats and metadata
- mine player behavior data from games
- build machine learning models on game data
- research esports match data sources
- find board game data for analysis

## When to choose
- you need a starting point to discover game datasets and APIs
- you are doing academic work on AI or data mining in games
- you want a curated, community-maintained index of game data resources

## When to avoid
- you need a ready-to-use dataset file rather than links to resources
- you need a tool or library that processes game data directly
- you need production software rather than a reference list

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, machine-learning, web-scraping
- domain: gaming-tools, artificial-intelligence, data-science, awesome-lists
- platform: cross-platform
- tags: awesome-list, game-datasets, data-mining, curated-list, game-ai

## Member repositories
- leomaurodesenv/game-datasets (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.235423+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:43:35.908478+00:00, confidence not recorded.
  - readme: https://github.com/leomaurodesenv/game-datasets (fetched 2026-08-28T04:03:37.235423+00:00, sha 27556064c72e)
- Data as of 2026-08-30T08:39:29.467469+00:00.