{"url":"/dataset/fig-qa","name":"Fig-QA","full_name":null,"description_markdown":"**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.\r\n\r\nImage source: [https://github.com/nightingal3/Fig-QA](https://github.com/nightingal3/Fig-QA)","description_withheld":null,"homepage":"https://github.com/nightingal3/Fig-QA","introduced_date":"2022-04-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/testing-the-ability-of-language-models-to-1","title":"Testing the Ability of Language Models to Interpret Figurative Language","first_author":"Emmy Liu","url":null},"license":{"name":"MIT","url":"https://github.com/nightingal3/Fig-QA/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Common Sense Reasoning","url":"/task/common-sense-reasoning","datasets_with_task":"/datasets/task/common-sense-reasoning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Fig-QA"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}