nightingal3/fig-qa
Dataset Card for Fig-QA Dataset Summary This is the dataset for the paper Testing the Ability of Language Models to Interpret Figurative Language. 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. Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/nightingal3/fig-qa.
| Author / organization | nightingal3 |
|---|---|
| License (as declared) | mit |
| Downloads | 701 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 16 June 2022 |
| Last updated at source | 10 June 2023 |
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701 now (+9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tasksource/deberta-base-long-nliModel · used to train
- sileod/deberta-v3-large-tasksource-nliModel · used to train
- tasksource/deberta-small-long-nliModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for Fig-QA Dataset Summary This is the dataset for the paper Testing the Ability of Language Models to Interpret Figurative Language. Fig-QA consists of 10256 examples of human-written creative metaphors that are paired as a Wi → Dataset Card for Fig-QA Dataset Summary This is the dataset for the paper Testing the Ability of Language Models to Interpret Figurative Language. Fig-QA consists of 10256 examples of human-written creative metaphors that are paired as a Wi
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