# Activision/caldera

Caldera data set from Call of Duty®: Warzone™

Repository: https://github.com/Activision/caldera
Canonical: https://ross.abutalabs.com/products/activision-caldera
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-04-29T22:31:48+00:00

## Health v2 (maintenance only)
Score: 22/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 19, release rhythm 8, longevity 54
- inputs: {"age_days": 768, "days_push": 491, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1232, forks 93 (observed 2026-08-28T04:04:04.526094+00:00)

## What it is
A large OpenUSD scene dataset containing converted geometry from the Call of Duty: Warzone Caldera map, released by Activision for academic research. It includes renderable geometry plus auxiliary representations like collision shapes and lighting volumes, but excludes textures, materials, and script-based entities.

## Use cases
- research on large-scale 3D scene construction and analysis
- studying semantic relationships between spatial elements in game environments
- developing tools for editing and updating large USD environments
- benchmarking geometric generation algorithms on production-scale scenes
- learning OpenUSD scene structure with real-world data
- collision and lighting volume analysis research

## When to choose
- you need a large, realistic, interconnected 3D scene for geometry research
- you work with OpenUSD and want production-scale example data
- you study scene graphs, parenting, or implicit semantic relationships in environments
- you research procedural editing of large game environments

## When to avoid
- you need textures, materials, or visually accurate rendering
- you want a complete playable game map or game assets
- your use case is commercial - the license is non-commercial only
- you need lightweight data - the scene is very large and heavy

## Facets
- artifact type: dataset
- maturity: stable
- function: graphics, simulation, data-generation
- domain: graphics, simulation, gaming-tools
- platform: python, cross-platform
- tags: openusd, 3d-scene, game-geometry, call-of-duty, environment-geometry, research-dataset, game-development

## Member repositories
- Activision/caldera (main) score 22

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.526094+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 2026-08-30T08:22:18.755880+00:00, confidence not recorded.
  - readme: https://github.com/Activision/caldera (fetched 2026-08-28T04:04:04.526094+00:00, sha 7a2745f9e258)
- Data as of 2026-08-30T08:39:29.467469+00:00.