Task gallery / Machine learning / Version 1
Reference solution (oracle)
Unverified
No-op resistance check
Unverified
QA verdict
Not recorded
Aggregate eligibility
Eligible version

The task

A phone accessories retailer needs every customer review scored with the star rating the customer most likely gave it, to reconstruct ratings lost in an import. The data is in [local evidence] a training file whose rows each carry a star rating from one to five, plus a test file holding the reviews you must score with the rating removed. The training reviews come from an earlier stretch of years and the reviews you must …

Excerpt only; not a complete executable task specification. Task ID task_fec6fb892b424ee7 · version 1. Selection status: not fully recorded.

Results by model and effort

This exact task version only. Every rate is passes / valid runs with a Wilson 95% interval; n≤2 remains counts only. Macro aggregation does not apply within a single task. Baselines are summarized in the quality gates, not ranked. A passed no-op resistance check means that doing nothing did not solve the task.

Current evidence

Model / effortVerifier result [95% Wilson]Diagnostic labels / validHARNESS_ERROR · excludedOutcome classes

Legacy evidence

Model / effortVerifier result [95% Wilson]Diagnostic labels / validHARNESS_ERROR · excludedOutcome classes

No named-agent evidence is recorded for this task version.

Every recorded run

2 recorded trials, including controls. Diagnostic labels do not replace verifier reward. Labels and quality checks are source declarations, not independently attested here. Internal evidence remains private; a missing public URL is shown explicitly. Records with invalid or absent rewards are not scored.

Run / modelDate / sourceReward / eligibilityDiagnostic class / sourceResourcesEvidence
trial_6fd2f645671a47a7
nop@@
Oct 12, 2026
console
No reward · excludedno_rewardNo diagnostic label
No diagnostic source
Tokens: —
Turns: —
Cost: —
Not publicly available
trial_ea375b0cc8fc4797
oracle@@
Oct 12, 2026
console
No reward · excludedno_rewardNo diagnostic label
No diagnostic source
Tokens: —
Turns: —
Cost: —
Not publicly available