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MetFuse Dataset
MetFuse is a dataset for studying the interaction and fusion of metonymy and metaphor in natural language. It is introduced in the paper MetFuse: Figurative Fusion between Metonymy and Metaphor, published in Association of Computational Linguistics (ACL 2026).
Dataset Details
Dataset Description
MetFuse contains 1,000 meaning-aligned quadruplets, with each instance consisting of:
- a literal sentence,
- a metonymic variant,
- a metaphoric variant, and
- a hybrid variant containing both metonymy and metaphor.
The dataset therefore contains 4,000 sentences in total.
Unlike datasets that study metaphor and metonymy independently, MetFuse enables researchers to investigate how these two figurative phenomena interact when they occur within the same expression.
- Language(s) (NLP): English
- License: Apache 2.0
Dataset Sources [optional]
- Repository: https://github.com/cincynlp/MetFuse
- Paper : MetFuse: Figurative Fusion between Metonymy and Metaphor (https://aclanthology.org/2026.acl-long.700/)
Dataset Structure
MetFuse contains 1,000 instances, corresponding to 4,000 sentences.
Each instance contains four meaning-aligned sentence variants:
- Literal: The original literal sentence.
- Metonymy: A variant containing a metonymic noun or noun phrase.
- Metaphor: A variant containing a verbal metaphor.
- Hybrid: A variant containing both the metonymic expression and verbal metaphor.
Additional fields identify information used during the construction of the figurative variants, including the target noun, target verb, metaphorical paraphrase, and metonymy category.
The dataset contains no predefined train, validation, or test split.
Source Data
The initial literal sentences were extracted from Wikipedia.
Citation-
If you use this dataset, please cite:
@inproceedings{ghosh-jiang-2026-metfuse,\
title = "{M}et{F}use: Figurative Fusion between Metonymy and Metaphor",\
author = "Ghosh, Saptarshi and Jiang, Tianyu",\
editor = "Liakata, Maria and Moreira, Viviane P. and Zhang, Jiajun and Jurgens, David",\
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",\
month = jul,\
year = "2026",\
address = "San Diego, California, United States",\
publisher = "Association for Computational Linguistics",\
url = "https://aclanthology.org/2026.acl-long.700/",\
doi = "10.18653/v1/2026.acl-long.700",\
pages = "15337--15350",\
ISBN = "979-8-89176-390-6"\
}