A 4B reasoning model that annotates French theater programmes against the Linked Art performing-arts ontology extension. Given raw programme markdown from the Festival d’Avignon (1947–present), it extracts structured JSON-LD entities with chain-of-thought reasoning. POntAvignon-4b is based on Qwen but relies on the SYNTH-syntax from Pleias’ Baguettotron. The model extracts 7 entity types from a single programme, each as a separate query: The model uses tags to produce SYNTH-style dense reasoning traces before outputting JSON-LD. The reasoning: — Names the task explicitly and stays focused on it — Engages with document structure, era, and typographic conventions — Works through French theatrical vocabulary and BnF role mapping — Resolves ontological boundaries (Work vs Production vs Performance) — Uses confidence markers: ● sure, ◐ probable, ○ guess, ⚠ risk A Colab notebook is available that runs all 7 entity types on a demo programme with a tabbed display. Runs on a free T4 GPU. The model was trained on 12,507 samples derived from ~1,400 Festival d’Avignon programmes (1971–2022), spanning three source collections: — BnF fonds — digitized paper programmes (1971–2002) — CommAvignon…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Pclanglais
Теги: qwen3, linked-art, performing-arts, ontology, json-ld, theater, festival-avignon, digital-humanities
Лайков: 3 | Загрузок: 24
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
