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**POntAvignon** (Policy Ontology for Avignon festival) is small reasoning model based on Pleias-350m, specialized for the transformation of unstructured theatre program into structured semantic data.
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**POntAvignon** (Policy Ontology for Avignon festival) is small reasoning model based on Pleias-350m, specialized for the transformation of unstructured theatre program into structured semantic data.
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## Training
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POntAvignon is based on variant of Pleias-350m mid-trained on Wikidata with generalist abilities for the transformation of unstructured text into knowledge graphs.
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The model has been further trained on samples of Avignon show programs with a reinforcement learning method (GRPO). We initially focused on constraining the model to only generate items about shows and use a limited set of properties. A judge model (Gemma 12B) contributed to enhance the overall accuracy of the results by assessing the preliminary drafts at each step.
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## Use
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PontAvignon is a specialized reasoning model using a special tokens to encode inputs, structured data outputs and the intermediary reasoning traces.
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Any excerpts of a show program has to be submitted using the tags '<|text_startl>' and '<|text_end|>'.
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