Datasets › MedLFQA
MedLFQA (Medical Long-form Question Answering)
MedLFQA is reconstructed by reformulating the current four biomedical long-form question-answering benchmark datasets: LiveQA, MedicationQA, HealthsearchQA, and K-QA. MedLFQA consists of four components: question (Q), answer (A), must-have statements (MH), and nice-to-have statements (NH). It facilitates the automatic evaluation of models' responses and provides a comprehensive understanding of how the model responds to a patient's question.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- MedLFQA
1 variant name, as the archive lists them.
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