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PharmaQA.IT: an Italian dataset for Q&A in the pharmaceutical domain

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Published in the Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track), EACL 2026, Rabat, Morocco.

The paper introduces PharmaQA.IT, an Italian extractive question-answering dataset of 861 expert-checked question-answer pairs built from official medicine leaflets (RCP) of the Italian Medicines Agency, using a semi-automatic pipeline with a multimodal LLM over 1,077 leaflets. Tests on open and proprietary LLMs show that open models come close to closed ones when combined with chunking and retrieval.

Authors: Kamyar Zeinalipour, Andrea Zugarini, Asya Zanollo, Leonardo Rigutini.

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