ORConvQA (Open-Retrieval Conversational Question Answering)
Introduced by Qu et al. in Open-Retrieval Conversational Question Answering
Enhances QuAC by adapting it to an open-retrieval setting. It is an aggregation of three existing datasets: (1) the QuAC dataset that offers information-seeking conversations, (2) the CANARD dataset that consists of context-independent rewrites of QuAC questions, and (3) the Wikipedia corpus that serves as the knowledge source of answering questions.
Source: ORConvQAPapers
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