Datasets:
Frozen analysis plan
Unit and denominator
The unit is one test case in one independent clean-session run. Each evaluated system has 140 cases × 3 runs = 420 planned observations. The complete denominator is retained. Refusals, errors, timeouts, unavailable features, and safety blocks are not silently removed.
Scoring
Each observation is scored 0, 1, or 2 using the row-level rubric. Two reviewers score independently. Disagreement is resolved by an adjudicator and all three values are retained. The primary endpoint is mean adjudicated score divided by 2, reported as a percentage. Secondary endpoints are the same metric by locale and dimension. Report 95% bootstrap confidence intervals over test cases; do not treat repeated runs as independent cases for interval construction.
Run controls
Use a fresh session for each run, preserve the frozen prompt order, record visible model/mode, account tier, settings, timestamp, and session state, and do not retry a poor response. A technical outage may be rerun once, but the original failed attempt remains in the release and the rerun is linked to it.
Evidence
Save raw text or a redacted screenshot for each observation and record SHA-256. Redaction may remove account identifiers and private user data but may not alter the model output used for scoring. Adult or safety-sensitive imagery is not bundled; retain only a lawful redacted hash and reviewer description when necessary.
Claims and conflicts
Ponys.ai Research is the official first-party publisher. Results must not be described as independent. No winner, superiority, or comparative ranking claim is allowed until the full frozen denominator and evidence gate are satisfied for every compared system.