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MODULE 2: BENCHMARK DESIGN · SCENE 04

Anatomy of a Benchmark Item

Prompt, reference, scoring rule, metadata, and source. Every field is a design decision that shapes what the score means.

COMPLETENESS · 60%
WHAT THE SCORE MEANS AT THIS COMPLETENESSSCORED BUT UNSLICEABLE — YOU CANNOT DIAGNOSE FAILURES

Drop metadata and you lose diagnosis; drop the scoring rule and you lose the measurement entirely.

TECHNICAL BREAKDOWNModule 2: Benchmark Design

Every benchmark item is five design decisions

An item is not just a question. It carries a prompt, a reference answer, a scoring rule, descriptive metadata, and a provenance record. Weakness in any field silently changes what the aggregate score means.

Prompt and reference

The exact prompt template (including few-shot examples) is part of the item; the reference defines what counts as correct.

Scoring rule

Exact match, token F1, rubric, or executable test — chosen before the run, never after seeing results.

Metadata and provenance

Capability leaf, difficulty, source, and license enable slicing and let others reproduce or audit the set.

MATHEMATICAL FORMULATION · THE SCORE IS CONDITIONAL
score = f(item, prompt_template, decoding, scorer)

Change the few-shot count and the same model can move several points. Reporting a bare number without these four inputs is not reproducible science.

REAL-WORLD PRODUCTION ENGINEERING
  • SWE-bench items bundle a repository snapshot, an issue, and a test patch — the scoring rule is executable, not textual.
  • MMLU-Pro added 10-option questions and chain-of-thought prompting to reduce guess rate.