Datasets › Circa

Circa

Introduced by Annie Louis et al. in "I'd rather just go to bed": Understanding Indirect Answers7 Oct 2020 archive 2025-07-28

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 it’s 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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Circa

1 variant name, as the archive lists them.

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