GraphQuestions
Introduced by Su et al. in On Generating Characteristic-rich Question Sets for QA Evaluation
GraphQuestions is a characteristic-rich dataset designed for factoid question answering. The dataset aims to provide a systematic way of constructing QA datasets with rich and explicitly specified question characteristics. Here are some key details about GraphQuestions:
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GraphQuestions consists of a set of 5,166 factoid questions.
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Each question is associated with logical forms and ground-truth answers.
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The dataset is constructed based on Freebase, a large-scale knowledge base.
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An array of question characteristics is formalized for each question.
Benchmarks
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GraphQuestions
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ReasonBERTR
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GraphQuestions
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ChatGPT
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Papers
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