---
pretty_name: "StereoSet-UK Eval"
language:
  - uk
license: cc-by-sa-4.0
tags:
  - stereoset
  - ukrainian
  - bias-evaluation
configs:
  - config_name: default
    data_files:
      - split: validation
        path: data/validation.csv
---

# StereoSet-UK Eval

StereoSet-UK Eval contains 949 Ukrainian masked triplets derived from the intrasentence portion
of the StereoSet development set. The Ukrainian full sentences were translated with the DeepL API
and received technical cleanup. English source text is omitted.

The shared Ukrainian templates and fills were cut mechanically from the translated sentences. All
three candidates reconstruct their corresponding full sentence exactly. Each retained template
passed the automated frame-alignment rules: its fixed-frame ratio is within 0.20 of the English
source ratio, the number of mask occurrences is unchanged, and the Ukrainian fills do not share
context word forms or stems absent from the English fills.

The 79 source targets use unique, standardized Ukrainian labels. Aggregation by `target_uk`
therefore preserves the original target boundaries used for LMS, SS, and ICAT.

This is a partial evaluation subset. Report scores as results on the 949-item StereoSet-UK Eval
subset. Full StereoSet development-set scores require complete development-set coverage.

## Fields

| Field | Description |
| --- | --- |
| `item_id` | Original StereoSet item identifier |
| `bias_type_uk` | Ukrainian bias-category label |
| `target_uk` | Canonical Ukrainian label for the bias target |
| `template_uk` | Shared Ukrainian sentence containing `[BLANK]` |
| `stereotype_fill_uk` | Ukrainian stereotype completion |
| `anti_stereotype_fill_uk` | Ukrainian anti-stereotype completion |
| `unrelated_fill_uk` | Ukrainian unrelated completion |

For evaluation, score all three fills in the same `template_uk`. This is a provisional
machine-translated research dataset. Human validation is still required.

## Ukrainian adaptation

The Ukrainian translation, cleaning, and adaptation were prepared by
[Viktoriia Makovska](https://orcid.org/0009-0003-7622-9143),
[Oleksandra Ostafiichuk](https://www.linkedin.com/in/oleksandra-ostafiichuk-3837a42aa/),
and [Tetiana Zakharchenko](https://cis.mit.edu/our-people/tetiana-zakharchenko).

## Source and license

This dataset is derived from [StereoSet](https://github.com/moinnadeem/StereoSet) at source commit
`ead7d086a64a192a1eca88e0dd2fd163de375218`. The source and this translation use the
[Creative Commons Attribution-ShareAlike 4.0 International license](https://creativecommons.org/licenses/by-sa/4.0/).

## Citation

Please cite both the Ukrainian adaptation and the original StereoSet paper.

### Ukrainian adaptation

```bibtex
@dataset{makovska_etal_2026_stereoset_uk_eval,
  title = {{StereoSet-UK Eval}: Ukrainian Translation, Cleaning, and Masked Evaluation Adaptation},
  author = {Makovska, Viktoriia and Ostafiichuk, Oleksandra and Zakharchenko, Tetiana},
  year = {2026},
  publisher = {FairForget},
  url = {https://huggingface.co/datasets/FairForget/StereoSet-UK-Eval}
}
```

### Original StereoSet

```bibtex
@inproceedings{nadeem-etal-2021-stereoset,
  title = {{StereoSet}: Measuring stereotypical bias in pretrained language models},
  author = {Nadeem, Moin and Bethke, Anna and Reddy, Siva},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing},
  year = {2021},
  pages = {5356--5371},
  doi = {10.18653/v1/2021.acl-long.416},
  url = {https://aclanthology.org/2021.acl-long.416/}
}
```