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