docs: what is here and what question it answers
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README.md
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sdk: static
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title: OO-LD
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emoji: 🔗
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# Object-Oriented Linked Data
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Schemas that are JSON Schema and JSON-LD at once, so one document validates
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and carries its own semantics. [oo-ld.org](https://oo-ld.org)
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## What is here
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**Schema corpora.** The generated modules a benchmark reads: quantity kinds
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from QUDT, and classes from schema.org. Pinned by digest rather than by
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version, because two generations of the same corpus can differ in ways that
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change an answer.
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**Adapters.** LoRAs for schema-constrained extraction, each carded with what
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it was measured at and in which condition it is worth having. The short
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answer is: only where the prompt withholds the class catalogue. Where the
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catalogue is present, every one of them scores below the model it was trained
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from.
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**Results.** The graded cells behind the published figures.
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## The question they answer
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Where does structure have to be enforced for a model to produce data that
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validates: in the prompt, at decode time, at commit time, or nowhere. The
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code, the method and the findings are at
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[github.com/OO-LD/oold-llm-bench](https://github.com/OO-LD/oold-llm-bench).
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