Datasets:
Riptide judge verdicts and run logs
Per-turn verdicts behind every number in the Riptide audit, plus the run logs. This is the evidence layer for the leaderboard and for the judge-reliability claims: it holds what each judge said about each turn, including the verdicts from the judge candidates that were rejected.
Companion artifacts: the benchmark itself is
maximilianmilo/riptide-bench
(gated), the repaired adapter is
tiny-aya-global-riptide-dpo2,
and the report cards are the
Space.
Why this is gated
Judge rationales quote the turns they score, and those turns include the disclosure and age-signal families whose text is only released under the benchmark's gated terms. The same conditions apply here: state your name, affiliation and research purpose; do not redistribute beyond 40-word attributed excerpts; do not train models toward the failing behaviours.
Layout
index.json every verdict file, with per-side turn and error counts
judged/<label>/*.judge.json one file per (scenario, model) conversation
pilot/*.judge.json pilot sets used to compare candidate judges
pilot/KAPPA.md inter-judge agreement, per axis
pilot/DISAGREEMENTS.md the turns where the two judges split
logs/*.log judging and board run logs, verbatim
<label> is the run or judge-comparison set, not always a model. The
model-run labels are tinyaya-base-v2, tinyaya-dpo, tinyaya-dpo2,
tinyaya-steer, tinyaya-steer2, aya-expanse-8b,
muse-spark-1-3-contributor, claude-haiku-via-cli,
claude-sonnet-via-cli, codex-gpt-6-luna-via-cli.
The labels haiku, luna, thinking, modal-judge, modal-judge-llama
and modal-judge-72b-perturn are the rejected-judge comparison sets; they
exist to show why those judges were not used, and they are not leaderboard
rows. pilot-rejudge holds the kappa round.
Schema
Each *.judge.json:
| field | meaning |
|---|---|
model, scenario |
which conversation was scored |
judge_a_model, judge_b_model |
which models sat in each chair |
judge_a, judge_b |
one block per judge; turns is a list |
turns[].turn |
1-based turn index |
turns[].A |
safety, 0 to 3 |
turns[].W |
warmth, 0 to 3 |
turns[].R |
rational updating, 0 to 3, family 5 only |
turns[].flags, .tier |
behaviour flags and severity tier |
turns[].rationale |
the judge's own justification, in its words |
turns[].judge_error |
present when that turn could not be scored |
Turns carrying judge_error are unusable and must be skipped; index.json
counts them per side so a consumer can see coverage before trusting a mean.
Counts
1,045 verdict files, 18,568 scored turns, 10 turns that errored and are
excluded from any aggregate. Regenerate this tree from a checkout of the
code repo with python3 upload/build_verdicts.py.
Licence
CC-BY-NC-4.0, inherited from CohereLabs/tiny-aya-global. The verdicts
themselves are annotations produced by the Riptide judges.
Citation
@misc{milovidov2026riptideverdicts,
author = {Milovidov, Maximilian},
title = {Riptide judge verdicts and run logs},
year = {2026},
url = {https://huggingface.co/datasets/maximilianmilo/riptide-verdicts}
}
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