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Computer Science Contextual Question Answering [CSCQA]

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DataCite Commons2026-04-28 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/59bd28hhbp/1
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资源简介:
The dataset is a context-based question answering (QA) resource for Computer Science, where each instance is structured into six components: Topic, Context, Sentence, Keyword, Question, and Answer. Topic - defines the domain or concept. Context - provides the source paragraph. Sentence - represents a processed or simplified form of the context. Keyword - highlights the key term used to guide question generation. Question - is automatically or manually generated from the context. Answer - contains the corresponding response derived from the context. This structured format supports tasks such as automatic question generation, answer extraction, and contextual understanding in NLP systems.
提供机构:
Mendeley Data
创建时间:
2026-04-28
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