Distractor Retrieval Dataset

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.

本基准数据集伴随一篇题为《学习复用干扰项以支持教育领域多项选择题生成》的学术论文。该数据集包含涵盖多个学科与语言的298个教育问题测试，以及一个包含77K多语言干扰词汇的词汇库。其目标是为给定的问题从干扰词汇库中提出一系列相关候选干扰项。