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| license: cc-by-4.0 | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - structured-generation | |
| - information-extraction | |
| - lora | |
| pretty_name: OO-LD quantity extraction, lean prompt | |
| # oold-quantities-lean | |
| What every adapter under this organisation was trained on. Chat-formatted | |
| examples of quantity extraction, generated from the | |
| [quantity schemas](https://huggingface.co/datasets/OO-LD/oold-quantity-schemas) and rendered to prose. | |
| ## The prompt is the evaluation prompt | |
| The system message is built by the same function that builds it at evaluation | |
| time, under the same arm, and is character-identical to it. Trained on one | |
| wording and evaluated on another, a result is a wording difference. | |
| Lean means the class catalogue is shown and the schema is not. Trained with a | |
| full schema in context, a model learns to copy from the prompt, and the | |
| tuned-with-no-schema condition the adapters exist for would measure nothing. | |
| ## Held out by class, and by register | |
| Roughly half the describable classes are excluded from training entirely. At | |
| evaluation the offered catalogue still carries both halves, or a held-out | |
| class could not be chosen and the contrast could not be measured. | |
| The register is held out too. These documents are generated prose; the | |
| adapters are scored on Wikipedia sentences. A number measured this way is not | |
| a report on the generator. | |
| Seeds are disjoint from every evaluation draw, so no scored document was | |
| trained on. | |
| ## Every example round-trips | |
| Each assistant turn is fed back through the real extractor and the real | |
| grader and must score 1.00. A training set that does not round-trip teaches a | |
| model answers the benchmark would mark wrong. 17 of 1,017 draws were rejected | |
| by that gate. | |
| ## Files | |
| | file | examples | | |
| |---|---| | |
| | `train.jsonl` | 1,000 | | |
| | `validation.jsonl` | 200 | | |
| Both carry a UTF-8 byte order mark. Kept rather than stripped, because these | |
| are the bytes the adapters were trained on; read them with `utf-8-sig`. | |
| Regenerate with [oold-llm-bench](https://github.com/OO-LD/oold-llm-bench). | |