The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
cascade eval pool — lagged public reveal
Daily snapshots of the held-out evaluation pool used by the cascade subnet, built from the 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 — 2026-07-27
- series: 2875
- domains: transport=1957, energy=342, healthcare=228, nature=181, sales=70, econ_fin=65, web_cloudops=32
- cadences: min=1974, D=342, 30min=229, 5min=120, 15min=120, H=55, 10min=14, 6min=12, 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.
- Downloads last month
- 365