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docs: what is here and what question it answers

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- title: README
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: OO-LD
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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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+
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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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+
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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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+
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+ **Results.** The graded cells behind the published figures.
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+
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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).