Computer Science Contextual Question Answering [CSCQA]

Published: 28 April 2026| Version 1 | DOI: 10.17632/59bd28hhbp.1
Contributors:
SENTHILKUMAR P,

Description

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.

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Computer Science, Education, Transformer LLM

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