Distractor Retrieval Dataset

Citation Author(s):
Semere Kiros
Bitew
Ghent University
Amir
Hadifar
Ghent University
Lucas
Sterckx
Johannes
Deleu
Ghent University
Chris
Develder
Ghent University
Thomas
Demeester
Ghent University
Submitted by:
Semere Kiros Bitew
Last updated:
Mon, 10/24/2022 - 07:54
DOI:
10.21227/gnpy-d910
Data Format:
*.JSON (ZIP)
Links:
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
License:
Creative Commons Attribution
142 Views
Categories:
Artificial Intelligence
Education and Learning Technologies
Machine Learning
Keywords:
Natural Language Processing, Online Learning, Machine Learning, artificial intelligence
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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. 

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