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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.
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