Distractor Retrieval Dataset

This dataset accompanies an article paper titled ``Learning to Reuse Distractors to support Multiple Choice Question Generation in Education''. It contains a test of 298 educational questions covering multiple subjects & languages and a 77K multilingual pool of distractor vocabulary. T...

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Bibliographische Detailangaben
Hauptverfasser: Bitew, Semere Kiros Bitew, Hadifar, Amir Hadifar, Sterckx, Lucas Sterckx, Deleu, Johannes Deleu, Develder, Chris Develder, Demeester, Thomas Demeester
Format: Dataset
Sprache:eng
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Beschreibung
Zusammenfassung:This dataset accompanies an article paper titled ``Learning to Reuse Distractors to support Multiple Choice Question Generation in Education''. It contains a test of 298 educational questions covering multiple subjects & languages and a 77K multilingual pool of distractor vocabulary. The goal is for a given question to propose a list of relevant candidate distractors from the pool of distractors.
DOI:10.21227/gnpy-d910