lukasellinger/homonym-mcl-wic

Multilingual Word-in-Context Homonyms (ML-WiC)

Dataset Author: Lukas Ellinger
Original Source: Adapted from Martelli et al. (2021)
License: CC BY-NC-SA 4.0
Language: Arabic, English, French, Russian, Simplified Chinese
Size: 1606 examples Task: Word Sense Disambiguation (WSD), Definition Generation

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Dataset Summary

Each entry includes:

• A homonym
• Its average frequency in Google N-grams

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Dataset Construction

The ML-WiC dataset was constructed to target homonyms with multiple distinct senses. The dataset from Martelli et al. (2021) was designed for Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC). This task involves determining whether a target word retains the same sense in two sentences within and across languages. We filtered the dataset for words with distinct senses in the same language, identifying them thus as homonyms.

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Citation

If you use any of the work, please cite the following paper:

@misc{ellinger_simplifications_2025,
    title = {Simplifications are {Absolutists}: {How} {Simplified} {Language} {Reduces} {Word} {Sense} {Awareness} in {LLM}-{Generated} {Definitions}},
    url = {http://arxiv.org/abs/2507.11981},
    author = {Ellinger, Lukas and Anschütz, Miriam and Groh, Georg},
    annote = {Comment: Accepted by RANLP 2025},
}