---
license: cc-by-4.0
language:
  - en
task_categories:
  - other
tags:
  - synthetic
  - multi-agent
  - simulation
  - causal-graphs
  - federation
  - cross-world
  - migration
  - diplomacy
  - cultural-diffusion
  - graph
  - tabular
size_categories:
  - 100K<n<1M
pretty_name: Aurelia — Federation Causal Graph (Events + Edges)
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*/train.parquet
---

# Aurelia — Federation Causal Graph (Events + Edges)

Cross-world and federation-level causal events (events.parquet) plus the causal edges (edges.parquet) that connect them. The federation graph captures trade shocks, migrations, cultural diffusion, and diplomatic relations across the five Aurelian worlds. Edges are filtered to the federation events in this run.

## Provenance

This dataset was generated by [Aurelia](https://github.com/ousiaresearch/aurelia),
a multi-agent civilization simulation operated by [Ousia Research](https://github.com/ousiaresearch).
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>/events.parquet + data/<run_id>/edges.parquet`

| column | type | description |
|---|---|---|
| `events.event_id` | string | Federation event id (primary key) |
| `events.tick_number` | int64 | Simulation tick |
| `events.world_id` | string | Always 'federation' for these events |
| `events.layer` | string | Always 'federation' for these events |
| `events.event_type` | string | Type: cross_world_movement, cultural_diffusion, diplomatic_*, etc. |
| `events.actor_ids` | list<string> | World ids that triggered |
| `events.target_ids` | list<string> | World ids affected |
| `events.magnitude` | float32 | Magnitude |
| `events.valence` | float32 | Signed valence |
| `events.payload` | object | Type-specific extra fields (source_world, target_world, etc.) |
| `edges.parent_event_id` | string | FK to events.event_id |
| `edges.child_event_id` | string | FK to events.event_id |
| `edges.relation` | string | Edge type (e.g. migration_to_cultural_change) |
| `edges.weight` | float32 | Edge weight in [0, 1] |

## Runs included

| run_id | total rows | breakdown |
|---|---|---|
| `phase11-100y` | 30,139 | phase11-100y/edges.parquet=3,066, phase11-100y/events.parquet=27,073 |
| `phase11-200y` | 42,277 | phase11-200y/edges.parquet=3,629, phase11-200y/events.parquet=38,648 |
| `phase11-bolster-scan-y5` | 6,061 | phase11-bolster-scan-y5/edges.parquet=711, phase11-bolster-scan-y5/events.parquet=5,350 |
| `phase11-cf-solara-aid` | 6,061 | phase11-cf-solara-aid/edges.parquet=711, phase11-cf-solara-aid/events.parquet=5,350 |
| `phase11-density-100y` | 29,595 | phase11-density-100y/edges.parquet=3,644, phase11-density-100y/events.parquet=25,951 |

Total rows across runs: **114,133** (100K<n<1M bucket).

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

## Loading

```python
from datasets import load_dataset
events = load_dataset(
    'parquet',
    data_files='aurelia-federation-causal/data/phase11-100y/events.parquet',
)['train']
edges = load_dataset(
    'parquet',
    data_files='aurelia-federation-causal/data/phase11-100y/edges.parquet',
)['train']
print(events[0])
print(edges[0])
```

## Run provenance map

Each `run_id` corresponds to a deterministic Aurelia simulation with a specific
configuration. See the [Aurelia Phase 11 comparison report](https://github.com/ousiaresearch/aurelia/blob/main/docs/reports/phase11-runs-comparison.md)
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](https://creativecommons.org/licenses/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](https://github.com/ousiaresearch/aurelia).

## 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.