skycmd 8cc8e276: skycmd synthetic time series (s6-cast generators)

MANIFEST.json

@@ -0,0 +1,25 @@
+{
+  "commit": "8cc8e276adabbe1cc37998fb70fdd5c947ffda81",
+  "source_files": {
+    "gp.jsonl": {
+      "sha256": "d9a902d4ca8a700c5c67d02ecf9706e9694c71e6aeb90567880bfd6e4afa5f0c",
+      "rows": 1000
+    },
+    "mixed.jsonl": {
+      "sha256": "4bf4044c9e8c117049ce5c84476be6b68421f92c008195215ad4d67909f1da5d",
+      "rows": 4000
+    },
+    "pulse.jsonl": {
+      "sha256": "6397eee4f9585beb46333509a5be1e010d7d332f0b20f9e94d9dc0d0a68087e7",
+      "rows": 1000
+    },
+    "sarima.jsonl": {
+      "sha256": "929d7281156232c2926b432fc4a1caa63c7bf0949c92c0d3b7c7bbf1da5367f1",
+      "rows": 1000
+    },
+    "tsi.jsonl": {
+      "sha256": "f36d82be826d76db842539080ca93691270c4f922b4dd8bac3ecb8fdc6bcba52",
+      "rows": 1000
+    }
+  }
+}

README.md

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+---
+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](https://github.com/maxgfr/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`](https://github.com/maxgfr/skycmd/commit/8cc8e276adabbe1cc37998fb70fdd5c947ffda81).
+Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/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 |
+
+```python
+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.

data/gp.parquet

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+size 9103676

data/mixed.parquet

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+size 38552859

data/pulse.parquet

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+size 10128542

data/sarima.parquet

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+oid sha256:5da500f40d5fbe8827e771bb3582717976607aeb88fe3f9a7f1de6b2c212ed62
+size 10310584

data/tsi.parquet

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