sim-idioms / README.md
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---
language:
- uk
- en
license: cc-by-sa-4.0
task_categories:
- translation
pretty_name: SimIdioms Aligned Ukrainian–English Idiom Corpus
tags:
- idioms
- phraseology
- ukrainian
- low-resource
- multilingual
- figurative-language
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: sim_idioms.jsonl
---
# SimIdioms
The first aligned **Ukrainian–English idiom corpus** — 2,262 clusters with
idiom strings, translations, contextual example sentences, and figurative
meanings on both language sides.
Companion to the paper *"SimIdioms: A Corpus and Benchmark for Ukrainian
Idiom Translation"* (UNLP 2026). Code and evaluation framework:
[github.com/petrunivyaryna/sim-idioms](https://github.com/petrunivyaryna/sim-idioms).
## Quick start
```python
from datasets import load_dataset
ds = load_dataset("KSE-RESEARCH-Group/sim-idioms", split="train")
print(ds[0])
```
## Schema
Each row is one idiom cluster:
```python
{
"id_": "SIM-0",
"uk": {
"idiom": [{"text": "...", "field": "idiom" | "translation"}, ...],
"example": [{"text": "..."}, ...],
"figurative_meaning": [{"text": "..."}, ...],
"figurative_meaning_translated": [{"text": "..."}, ...]
},
"en": { ... same fields ... }
}
```
**Total: 2,262 clusters.** 3,595 EN / 2,751 UK idiom strings, 2,885 EN / 2,737 UK
example sentences, 1,723 EN / 1,193 UK figurative meanings (original + translated).
## License
The dataset is tagged **CC BY-SA 4.0**, inherited from the English-side
content (MIDAS). However, the **Ukrainian-side content has additional
restrictions** that override CC BY-SA for that portion — see `LICENSE` for the
full text.
- 🇬🇧 **English-side content** (derived from MIDAS) and the cluster-graph
structure are released under **CC BY-SA 4.0** — attribution + ShareAlike
apply.
- 🇺🇦 **Ukrainian-side content** (idioms, figurative meanings, usage examples)
derived from the *Ukrainian-English and English-Ukrainian Phraseological
Dictionary* (Condor Publishing House) and the *Dictionary of Phraseological
Units of the Ukrainian Language* (Bilonozhenko et al., 2003) is included
**with explicit publisher permission for academic research only**. It may
**not** be redistributed, mirrored, or used commercially without separate
permission from Condor Publishing House.
By using this dataset you agree to use the Ukrainian-side content **only for
non-commercial academic research**.
## Citation
If you use this dataset, please cite our paper:
```bibtex
@inproceedings{petruniv-2026-simidioms,
title = {SimIdioms: A Corpus and Benchmark for Ukrainian Idiom Translation},
author = {Petruniv, Yaryna and Makogon, Iuliia and Kyslyi, Roman},
booktitle = {Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP)},
year = {2026}
}
```
### Please also cite the underlying sources
Because SimIdioms is built from existing resources, please also cite them when
using the dataset, in line with their licenses (CC BY-SA 4.0 for the
ShareAlike-licensed sources, and the Condor / Bilonozhenko publishers for the
Ukrainian dictionary content).
```bibtex
@book{horot-etal-2024-ukrainsko,
title = {Ukrainsko-anhliiskyi ta anhlo-ukrainskyi frazeolohichnyi slovnyk
[Ukrainian-English and English-Ukrainian Phraseological Dictionary]},
author = {Horot, Ye. I. and Hromyk, Yu. V. and Malimon, L. K.
and Pavlenko, L. P. and Pavliuk, A. B. and Rohach, O. O.},
year = {2024},
publisher = {Condor Publishing House},
address = {Kyiv, Ukraine},
isbn = {978-617-7939-03-9}
}
@book{bilonozhenko2003slovnyk,
title = {Slovnyk frazeolohizmiv ukrainskoi movy
[Dictionary of Phraseological Units of the Ukrainian Language]},
author = {Bilonozhenko, V. M. and Hnatiuk, I. S. and Diatchuk, V. V.
and Nerovnia, N. M. and Fedorenko, T. O.},
publisher = {Naukova Dumka},
address = {Kyiv},
year = {2003}
}
@inproceedings{kim-etal-2025-memorization,
title = {Memorization or Reasoning? Exploring the Idiom Understanding of {LLM}s},
author = {Kim, Jisu and Shin, Youngwoo and Hwang, Uiji and Choi, Jihun
and Xuan, Richeng and Kim, Taeuk},
booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
year = {2025},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2025.emnlp-main.1099/}
}
@inproceedings{chaplynskyi2023,
title = {Introducing {U}ber{T}ext 2.0: A Corpus of Modern {U}krainian at Scale},
author = {Chaplynskyi, Dmytro},
booktitle = {Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)},
year = {2023},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2023.unlp-1.1/}
}
```