license: apache-2.0
pretty_name: skycmd synthetic time series (s6-cast generators)
task_categories:
- time-series-forecasting
tags:
- skycmd
configs:
- config_name: gp
data_files: data/gp.parquet
- config_name: mixed
data_files: data/mixed.parquet
- config_name: pulse
data_files: data/pulse.parquet
- config_name: sarima
data_files: data/sarima.parquet
- config_name: tsi
data_files: data/tsi.parquet
skycmd synthetic time series (s6-cast generators)
A fixed sample of the four synthetic series generators that pretrain the s6-cast forecaster (Gaussian processes, pulses, trend-seasonality-irregular, SARIMA), and of their training mix. Generated by skycmd's own Rust code: no third-party data.
Part of skycmd, tiny decision models trained from scratch in Rust that run in the
browser. Written by sky-train cast-synth --kind <family> --n 1000 --len 2048 --seed 1, and --n 4000 for the mix at commit 8cc8e276.
Licences of every set: DATA_LICENSES.md.
Each row is one synthetic series: id (<family>-<i>) and values (2,048 floats). The generators
are ours (crates/sky-infer/src/cast/synth.rs), after Reverso (arXiv 2602.17634, appendix B) and
Simulation Alone (arXiv 2601.00970), and deterministic per seed. s6-cast does not train on these
rows: it trains on an endless stream from the same generators (a refreshed pool, other seeds).
This repository is a fixed sample of that stream (sky-train cast-synth --seed 1 --len 2048), to
inspect the generators or to pretrain another forecaster on the same distribution.
Sources and licences
Each config is one source and keeps its source's licence (share-alike sources stay share-alike). Attribution goes to the upstream authors; the conversion is ours.
| config | upstream | licence | how it is used | rows |
|---|---|---|---|---|
gp |
ours: sky_infer::cast::synth, family gp |
apache-2.0 | KernelSynth-style Gaussian-process draws: 1 to 5 kernels (constant, linear, RBF, rational quadratic, Matérn, periodic) combined by sum or product, sampled with random Fourier features | 1,000 |
mixed |
ours: the training mix | apache-2.0 | the four families drawn with weights 0.3 / 0.15 / 0.3 / 0.25, as in s6-cast training | 4,000 |
pulse |
ours: family pulse |
apache-2.0 | trapezoid pulse trains (spikes or dips) over a baseline, with noise | 1,000 |
sarima |
ours: family sarima |
apache-2.0 | seasonal ARIMA with stationary AR parts (sampled through their partial autocorrelations), optional differencing | 1,000 |
tsi |
ours: family tsi |
apache-2.0 | trend (linear, exponential, polynomial, piecewise) + up to 3 seasonal waves + Gaussian, Laplace or Student-t noise + outliers + level shifts | 1,000 |
Files
| file | rows |
|---|---|
data/gp.parquet |
1,000 |
data/mixed.parquet |
4,000 |
data/pulse.parquet |
1,000 |
data/sarima.parquet |
1,000 |
data/tsi.parquet |
1,000 |
from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-cast-synth", "gp")
skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream sets carry their own teacher soft labels, see their cards), the games' oracles or our generators.