Prompt corpus selection

AIPerf synthesizes prompt text from a named corpus when the dataset does not already carry verbatim content. Author the corpus as prompts.corpus in YAML or pass --prompt-corpus on the CLI.

Values

When it applies

Honored only where content is synthesized:

• synthetic datasets
• count / hash-id trace loaders (e.g. mooncake_trace, bailian_trace, weka_trace)
• public trace datasets that reconstruct from hash ids (e.g. SemiAnalysis weka HF)

Verbatim formats (single_turn, multi_turn, baseten_trace, …) ignore it.

Defaults

When omitted, the active loader’s default_prompt_corpus from the plugin registry applies. Agentic coding loaders such as weka_trace default to coding; most others default to sonnet. Synthetic with no authored corpus uses sonnet.

YAML shape

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datasets:
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  - type: synthetic
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    prompts:
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      isl: 128
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      corpus: coding
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  - type: file
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    format: weka_trace
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    path: ./traces/
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    prompts:
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      corpus: coding

Prefix prompts

coding uses the same synthetic prefix / shared-system / user-context surface as sonnet: those features sample from the selected corpus rather than requiring a separate generator type.