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title: OO-LD
emoji: 🔗
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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).