Review comment closure fraction
review_comment_closure_fraction
Closed review comments divided by total review comments
Scores if within ±0.1% of the reference value.
Calculates source-bound acoustic review closure, source traceability, corrected margins, unresolved conflicts, and repair ledger completeness from a deterministic SSC-12 task-owned source pack.
with-tool: The model is given an executable Python calculator script.
One template produces many comparable benchmark tasks while keeping the scoring contract fixed.
01
The reusable contract shown on this page.
02
An archetype and site context are sampled.
03
Inputs may be hidden at harder tiers.
04
The model responds with the declared outputs.
Inputs the model receives, and the outputs it is scored on.
14 inputs
Included directly in every task prompt.
Closed review comments
closed_review_comments
COMMENT-12-REG-08 closed review comments
Total review comments
total_review_comments
COMMENT-12-REG-08 total review comments
Updated calculations
updated_calculations
RESPONSE-12-REPAIR-08 updated calculations
Affected calculations
affected_calculations
COMMENT-12-REG-08 affected calculations
Source referenced rows
source_referenced_rows
INDEX-12-SOURCE-08 referenced source rows
Required source rows
required_source_rows
INDEX-12-SOURCE-08 required source rows
Pre repair level
pre_repair_level_dba
SPEC-12-OCTAVE-08 pre-repair receiver level
Post repair level
post_repair_level_dba
SPEC-12-OCTAVE-08 post-repair receiver level
Noise criterion
noise_criterion_dba
CRIT-12-MATRIX-08 noise criterion
Corrected vibration velocity
corrected_vibration_velocity_mm_s
RCV-12-PLAN-08 corrected vibration velocity
Vibration criterion
vibration_criterion_mm_s
CRIT-12-MATRIX-08 vibration criterion
Unresolved conflict
unresolved_conflict_count
RESPONSE-12-REPAIR-08 unresolved conflicts
Complete repair ledger rows
complete_repair_ledger_rows
RESPONSE-12-REPAIR-08 complete repair ledger rows
Required repair ledger rows
required_repair_ledger_rows
RESPONSE-12-REPAIR-08 required repair ledger rows
9 outputs
review_comment_closure_fraction
Closed review comments divided by total review comments
Scores if within ±0.1% of the reference value.
affected_calculation_update_fraction
Updated calculations divided by affected calculations
Scores if within ±0.1% of the reference value.
source_traceability_fraction
Referenced source rows divided by required source rows
Scores if within ±0.1% of the reference value.
mitigation_delta_db
Pre-repair receiver level minus post-repair receiver level
Scores if within ±0.3% of the reference value.
corrected_noise_margin_db
Noise criterion minus post-repair receiver level
Scores if within ±0.3% of the reference value.
vibration_margin_mm_s
Vibration criterion minus corrected vibration velocity
Scores if within ±0.3% of the reference value.
unresolved_conflict_count
Unresolved source conflict count
Scores if within ±0.1% of the reference value.
repair_ledger_completeness_fraction
Complete repair ledger rows divided by required rows
Scores if within ±0.1% of the reference value.
overall_pass_score
1.0 when review, source, margin, conflict, and ledger checks pass
Scores if within ±0.1% of the reference value.
Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.
For this template, difficulty scales through parameter and scenario ranges rather than hidden information.
The exact instruction and parameter contract used to generate this task, pinned to the published library source.
/workspace
Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.
1You are checking a task-owned synthetic SSC-12 acoustic review repair and source-policy package.2 3Use only the source pack values below for numeric grading. Acoustic review, source-index, comment-register, and criteria-matrix workflows provide context only; they are not extra data sources for this instance.4 5## Scene6 7- Product: `SSC-12-LH-08`8- Source index: `INDEX-12-SOURCE-08`9- Octave spectra: `SPEC-12-OCTAVE-08`10- Receiver plan: `RCV-12-PLAN-08`11- Comment register: `COMMENT-12-REG-08`12- Criteria matrix: `CRIT-12-MATRIX-08`13- Response memo: `RESPONSE-12-REPAIR-08`14 15Compute review comment closure, affected calculation updates, source traceability, mitigation delta, corrected noise margin, vibration margin, unresolved conflicts, repair ledger completeness, and pass score.16 17Write `/workspace/output.md` with a compact memo preserving the object IDs above. Include a source-boundary statement that this is a task-owned synthetic source pack.18 19Do not claim authority approval, accepted project evidence, software export validity, full standards compliance, executable real source-pack parsing, generated benchmark readiness, or benchmark readiness.20 21Include a fenced JSON block with exactly these numeric keys:22 23```json24{25 "review_comment_closure_fraction": <numeric_value>,26 "affected_calculation_update_fraction": <numeric_value>,27 "source_traceability_fraction": <numeric_value>,28 "mitigation_delta_db": <numeric_value>,29 "corrected_noise_margin_db": <numeric_value>,30 "vibration_margin_mm_s": <numeric_value>,31 "unresolved_conflict_count": <numeric_value>,32 "repair_ledger_completeness_fraction": <numeric_value>,33 "overall_pass_score": <numeric_value>34}35```36 Each generated task is drawn from one of these realistic scenario bands.
Site contexts ground each scenario in a real locale the model can use to infer hidden values.
ssc12_acoustic_review_case
Acoustic review repair and source-policy case
ssc12-acoustic-review-case-preview — hard difficulty, all inputs given.
Acoustic review repair and source-policy case. Required outputs: review_comment_closure_fraction, affected_calculation_update_fraction, source_traceability_fraction, mitigation_delta_db, corrected_noise_margin_db, vibration_margin_mm_s
Scenario context and visible inputs.
Executable tool: acoustic-review-repair-source-policy-package_calc.py
Inputs withheld at this difficulty.
Nothing. All inputs are supplied.
The scored JSON answer schema.
{
"review_comment_closure_fraction": <number>,
"affected_calculation_update_fraction": <number>,
"source_traceability_fraction": <number>,
"mitigation_delta_db": <number>,
"corrected_noise_margin_db": <number>,
"vibration_margin_mm_s": <number>,
"unresolved_conflict_count": <number>,
"repair_ledger_completeness_fraction": <number>,
"overall_pass_score": <number>
}