Datasets:
File and field guide
The layout follows the original SwarmWorld dataset; its own guide applies to the trace record types. Differences are listed here.
Study folders (studies/<run>/<study>/)
| File | Meaning |
|---|---|
study-manifest.json |
The engine's protocol record, fixed before the run: conditions, populations, seeds, ticks, schedules, engine revision, capabilities, prompt/schema/config hashes. For the parallel runs it also lists the per-cell parts it was merged from. |
study-summary.json |
One record per episode with endpoints, held-out assays, mobility, technology ecology, model usage and the trace path (rewritten to be release-relative). |
run-meta.json |
Our run manifest: package version, served model name, server version, base URL, transport, sampling, hashes, start and finish times. |
config/*.yaml |
The rendered run configuration the engine was given (named by the hash of its content). |
*.jsonl.gz |
Authoritative event traces; -member-NNN files are the isolated independent-search replicates. |
Metadata
| File | Meaning |
|---|---|
metadata/studies.csv |
One row per study: model, design, counts, model usage, hashes. |
metadata/episodes.csv |
One row per episode: principal endpoints (discovery-frontier AUC, held-out resilience AUC, best artifact performance, portfolio resilience, artifacts, collaborative fraction, distance travelled), research score and milestone count, calls, errors, tokens, trace path, state digest. |
metadata/files.csv |
Size and SHA-256 of every payload file; scripts/verify_dataset.py checks them. |
metadata/run_commands.md |
The commands that produced each study. |
Analyses (analyses/)
| Path | Meaning |
|---|---|
qwen38-27b-gptq4-n50/study1-analysis/, study2-analysis/ |
analyze-study outputs for the two N = 50 studies (endpoint tables, scaling and contrast CSVs, overview, portfolio and technology-ecology figures). |
qwen38-27b-gptq4-n50/mobility-4cond/ |
analyze-mobility over both studies: movement regimes, spatial self-organisation, signatures (CSV, JSON, figures). |
qwen38-27b-gptq4-n50/trace-report-3203.json, trace-figures-3203/ |
trace-report on the seed 3203 full-culture society (35 artifacts): information flow, coordination, lineage figure. |
qwen38-27b-gptq4-n50/dossiers-3203/ |
technology-dossiers: the five best technologies of that society with briefing sheets. |
qwen38-27b-gptq4-n50/compare-n50-both.csv |
Every N = 50 episode against the original dataset's episodes.csv, by condition, seed and metric. |
model-registry.md, model-registry.csv |
Per served alias: checkpoint, quantisation, server, kernels, context, KV cache, flags, measured throughput. |
Research score and milestones
The engine tracks sixteen research milestones per episode; research_score is the fraction reached and milestones the count. The validity pilots are compared on this score because artifacts are rare at N = 4 and 16.