OusiaResearch/aurelia-npc-population

Aurelia — NPC Population Snapshot

One row per NPC at the end of a simulation run, with a count of the NPC's own events log entries. The properties JSON captures birth, migration, household, and demographic metadata. Useful for agent-level demography, mortality, and migration studies.

Provenance

This dataset was generated by Aurelia, a multi-agent civilization simulation operated by Ousia Research. The data in this repository is fully synthetic — no real humans, places, or events are referenced. The simulation engine, schema, and reproducible configurations are all open-sourced; see the GitHub repository for replay instructions.

The five Aurelian worlds (arkos, mirithane, solara, valdris, verge) interact through a federation layer that schedules cross-world effects (trade shocks, migrations, cultural diffusion, diplomatic relations). Each world runs an independent agent-based simulation of NPCs with goals, factions, institutions, and macro-level state transitions.

Schema

Primary file: data/<run_id>/<world>/train.parquet

column	type	description
run_id	string	Run label (e.g. phase11-100y)
npc_id	string	Globally unique NPC id (primary key)
name	string	NPC display name
npc_type	string	Always 'npc' for this dataset
location_id	string	Location at end of run (or null if emigrated)
final_state	string	State at end of run: active, dead, emigrated
properties	object	JSON: born_tick, migrated_tick, household_id, origin_world, target_world, etc.
travel_state	string	In-transit state, or null
created_at	float64	Unix timestamp of NPC birth
updated_at	float64	Unix timestamp of last update
event_count	int64	Count of events rows for this NPC

Runs included

run_id	total rows	breakdown
phase11-100y	6,634	phase11-100y/arkos/train.parquet=1,646, phase11-100y/mirithane/train.parquet=1,267, phase11-100y/solara/train.parquet=772, phase11-100y/valdris/train.parquet=1,658, phase11-100y/verge/train.parquet=1,291
phase11-200y	7,675	phase11-200y/arkos/train.parquet=1,889, phase11-200y/mirithane/train.parquet=1,434, phase11-200y/solara/train.parquet=898, phase11-200y/valdris/train.parquet=1,910, phase11-200y/verge/train.parquet=1,544
phase11-bolster-scan-y5	2,329	phase11-bolster-scan-y5/arkos/train.parquet=556, phase11-bolster-scan-y5/mirithane/train.parquet=448, phase11-bolster-scan-y5/solara/train.parquet=323, phase11-bolster-scan-y5/valdris/train.parquet=556, phase11-bolster-scan-y5/verge/train.parquet=446
phase11-cf-solara-aid	2,329	phase11-cf-solara-aid/arkos/train.parquet=556, phase11-cf-solara-aid/mirithane/train.parquet=448, phase11-cf-solara-aid/solara/train.parquet=323, phase11-cf-solara-aid/valdris/train.parquet=556, phase11-cf-solara-aid/verge/train.parquet=446
phase11-density-100y	6,832	phase11-density-100y/arkos/train.parquet=1,592, phase11-density-100y/mirithane/train.parquet=1,291, phase11-density-100y/solara/train.parquet=1,049, phase11-density-100y/valdris/train.parquet=1,743, phase11-density-100y/verge/train.parquet=1,157

Total rows across runs: 25,799 (10K<n<100K bucket).

To load a specific run, point data_files at the run's directory.

Loading

from datasets import load_dataset
ds = load_dataset(
    'parquet',
    data_files={
        'phase11-100y_solara': 'aurelia-npc-population/data/phase11-100y/solara/train.parquet',
    },
)
print(ds['phase11-100y_solara'][0])

Run provenance map

Each run_id corresponds to a deterministic Aurelia simulation with a specific configuration. See the Aurelia Phase 11 comparison report for the demographics and population coefficient-of-variation across these runs.

run_id	config	years	density_diversification
phase11-bolster-scan-y5	baseline (5y)	5	0.0
phase11-100y	baseline (100y)	100	0.0
phase11-200y	baseline (200y)	200	0.0
phase11-density-100y	density-diversification (100y)	100	0.7
phase11-cf-solara-aid	counterfactual: solara federation aid early	5	0.0 (counterfactual intervention)

Licensing

Released under CC-BY-4.0. You may use, share, and adapt the data for any purpose, including commercial, with attribution. Attribution: "Aurelia Simulation Dataset, Ousia Research, 2026."

If you use this dataset in a publication, please cite the companion technical report and link back to the Aurelia repository.

Limitations

• The simulation models abstract civilization dynamics; it is not a forecast of any real-world society.
• All names, world ids, and event labels are fictional.
• The number of NPCs is small (≤ 200 active per world) by design — this is a micro-society scale, not a planet-scale demographic model.
• Results are sensitive to RNG seed and engine version; pin both when reporting.