PharmaQA.IT: an Italian dataset for Q&A in the pharmaceutical domain (2026.eacl-industry)
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| Challenge: | Existing medical QA datasets are mostly English and centred on scientific articles or clinical notes. |
| Approach: | They propose an extractive QA dataset built from Riassunti delle Caratteristiche del Prodotto . the final dataset contains 861 high-quality question–answer pairs . |
| Outcome: | The proposed dataset contains 861 high-quality question–answer pairs on indications, contraindications, dosage, warnings, interactions, and pharmacological properties. |
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Kristine Ann M. Carandang, Jasper Meynard Arana, Ethan Robert Casin, Christopher Monterola, Daniel Stanley Tan, Jesus Felix B. Valenzuela, Christian Alis
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| Challenge: | S-MedQA is an English question-answering dataset designed for benchmarking large language models in fine-grained clinical specialties. |
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