| --- |
| license: cc-by-4.0 |
| pretty_name: cascade held-out eval pool (24h-lagged reveal) |
| tags: |
| - time-series |
| - forecasting |
| - benchmark |
| --- |
| |
| # cascade eval pool — lagged public reveal |
|
|
| Daily snapshots of the **held-out evaluation pool** used by the |
| [cascade](https://github.com/TensorLink-AI/cascade) subnet, built from the |
| [tsbench-forge](https://github.com/tensorlink-dev/TSBench-Forge) live catalog of |
| real public time series across the 7 GIFT-Eval domains. |
|
|
| **Each snapshot is revealed 24h AFTER it was used for scoring** (`as_of` is a |
| closed UTC day). Because the pool rotates daily, a released snapshot is always |
| for a round that is already scored — it lets anyone **reproduce the leaderboard** |
| without exposing the round currently in play. |
|
|
| ## Layout |
|
|
| ``` |
| snapshots/<YYYY-MM-DD>/ one folder per revealed day (as_of) |
| <series_id>.npy float32, freshest context_length + horizon points |
| metadata.json {series_id: {freq, seasonal_period, domain, source}} |
| provenance.json build config (context_length, horizon, builder_version) |
| ``` |
|
|
| Scoring is identity-agnostic: MASE uses `seasonal_period`, CRPS/WQL use the |
| values + a model's quantiles, and the KOTH cluster-bootstrap groups windows by |
| `source`. Re-cut windows of `context_length + horizon`, forecast the horizon, |
| and the metrics reproduce byte-for-byte. |
|
|
| ## Latest snapshot — `2026-08-01` |
|
|
| - **series:** 3504 |
| - **domains:** transport=2545, energy=367, healthcare=227, nature=193, econ_fin=74, sales=66, web_cloudops=32 |
| - **cadences:** min=2566, D=337, 30min=258, 15min=134, 5min=122, H=53, 10min=15, 6min=10, 240S=6, 15S=1, 10S=1, 1S=1 |
|
|
| > This is an **evaluation** set, not training data. Publishing it to train on |
| > would contaminate the benchmark it exists to measure. |
|
|
