Distractor Retrieval Dataset

- Citation Author(s):
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Amir Hadifar (Ghent University)Lucas SterckxJohannes Deleu (Ghent University)Chris Develder (Ghent University)Thomas Demeester (Ghent University)
- Submitted by:
- Semere Kiros Bitew
- Last updated:
- DOI:
- 10.21227/gnpy-d910
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Abstract
This benchmark 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.
Instructions:
The dataset is provided in a ZIP file that has two folders. The first folder, 'test-MCQs', contains 6 JSON files, each corresponding to a subject as indicated by its filename namely: English, French, Natural Sciences, History, Biology and Geography. The second folder, `vocab', includes one JSON file containing the list of distractors in a `distractor': `frequency' format.