Datasets › Fig-QA

Fig-QA

Introduced by Emmy Liu et al. in Testing the Ability of Language Models to Interpret Figurative Language26 Apr 2022 archive 2025-07-28

Fig-QA consists of 10256 examples of human-written creative metaphors that are paired as a Winograd schema. It can be used to evaluate the commonsense reasoning of models. The metaphors themselves can also be used as training data for other tasks, such as metaphor detection or generation.

Image source: https://github.com/nightingal3/Fig-QA

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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 10 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Common Sense Reasoning

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Fig-QA

1 variant name, as the archive lists them.

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