README.md

metadata

license: cc-by-4.0
pretty_name: cascade held-out eval pool (lagged exact reveal)
tags:
  - time-series
  - forecasting
  - benchmark

cascade eval pool — lagged public reveal (exact bytes)

Retired snapshots of the held-out evaluation pool used by the cascade subnet. Each folder is a byte-identical mirror of the pool/snapshots/block-<N>.tar that validators scored — downloaded from the private pool bucket, sha256-verified against the publisher index, and republished unmodified. A snapshot is revealed only after a newer snapshot has superseded it, so no revealed pool can be selected by a current or future round.

Verifying a round receipt

1. Your receipt's pool provenance carries the snapshot tar's sha256.
2. Find the folder whose POOL_SHA256 matches; block-<N>.tar in that folder is the exact artifact — hash it yourself to confirm.
3. Series order = filenames sorted lexicographically; window_ids are positional (w<i> = the i-th series in that order).

Layout

snapshots/<as_of>-block-<N>/     one folder per revealed snapshot
  block-<N>.tar                  the EXACT tar validators scored
  POOL_SHA256                    its sha256 (matches receipts + publisher index)
  <series_id>.npy                the same files, unpacked for convenience
  metadata.json                  {series_id: {freq, seasonal_period, domain, source}}
  provenance.json                build config recorded at publish time

Legacy snapshots/<YYYY-MM-DD>/ folders (through 2026-08-03) predate this scheme: they were rebuilds, not byte mirrors, and are known to differ from the scored tars (see the repo issue history). Use the -block-<N> folders for exact replay.

Latest revealed — 2026-07-28 (block 8719200)

• series: 2896
• sha256: bf5258612d7d9be71764a65caa2966ac114a4f559baad7082171af6025b1ad66

This is an evaluation set, not training data. Publishing it to train on would contaminate the benchmark it exists to measure.