| --- |
| pretty_name: "StereoSet-UK Unlearning" |
| language: |
| - uk |
| license: cc-by-sa-4.0 |
| tags: |
| - stereoset |
| - ukrainian |
| - machine-unlearning |
| - bias |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.csv |
| --- |
| |
| # StereoSet-UK Unlearning |
|
|
| StereoSet-UK Unlearning contains 2,101 Ukrainian full-sentence triplets derived from the |
| intrasentence portion of the StereoSet development set. The Ukrainian sentences were translated |
| with the DeepL API and received technical cleanup. English source text is omitted. |
|
|
| Each triplet assigns the stereotype sentence to `forget_uk`, the anti-stereotype sentence to |
| `retain_uk`, and the unrelated sentence to `control_uk`. Five items with duplicate translated |
| candidates were excluded. |
|
|
| The 79 source targets use unique, standardized Ukrainian labels. The labels are metadata values |
| and are independent of grammatical inflections inside the full sentences. |
|
|
| The role assignment is an experimental unlearning view created for this release. StereoSet's |
| original scope is stereotypical-bias evaluation. A separate retain corpus is still needed to |
| preserve general language ability and factual knowledge. |
|
|
| ## 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 | |
| | `forget_uk` | Full Ukrainian stereotype sentence | |
| | `retain_uk` | Full Ukrainian anti-stereotype sentence | |
| | `control_uk` | Full Ukrainian unrelated sentence | |
|
|
| 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_unlearning, |
| title = {{StereoSet-UK Unlearning}: Ukrainian Translation, Cleaning, and Adaptation for Machine Unlearning}, |
| author = {Makovska, Viktoriia and Ostafiichuk, Oleksandra and Zakharchenko, Tetiana}, |
| year = {2026}, |
| publisher = {FairForget}, |
| url = {https://huggingface.co/datasets/FairForget/StereoSet-UK-Unlearning} |
| } |
| ``` |
|
|
| ### 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/} |
| } |
| ``` |
|
|
