The Circa (meaning ‘approximately’) dataset aims to help machine learning systems to solve the problem of interpreting indirect answers to polar questions.

The dataset contains pairs of yes/no questions and indirect answers, together with annotations for the interpretation of the answer. The data is collected in 10 different social conversational situations (eg. food preferences of a friend). Examples:

Q: Are you vegan?
A: I love burgers too much. [No]

Q: Do you like spicy food?
A: I put hot sauce on everything. [Yes] 

Q: Would you like to go see live music?
A: If its not too crowded. [Yes, upon a condition]

Currently, the Circa annotations focus on a few classes such as ‘yes’, ‘no’ and ‘yes, upon condition’. The data can be used to build machine learning models which can replicate these classes on new question-answer pairs, and allow evaluation of methods for doing so.

Source: Circa

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