ConvFinQA (Conversational Finance Question Answering)
Introduced by Chen et al. in ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
ConvFinQA is a dataset designed to study the chain of numerical reasoning in conversational question answering. The dataset contains 3892 conversations containing 14115 questions where 2715 of the conversations are simple conversations, and the rest 1,177 are hybrid conversations.
Source: ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question AnsweringBenchmarks
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APOLLO
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Papers
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