Upload Ukrainian unlearning dataset

LICENSE

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+StereoSet-UK Unlearning is licensed under the Creative Commons Attribution-ShareAlike 4.0
+International license (CC BY-SA 4.0).
+
+License terms:
+https://creativecommons.org/licenses/by-sa/4.0/legalcode
+
+Original work:
+StereoSet by Moin Nadeem, Anna Bethke, and Siva Reddy
+https://github.com/moinnadeem/StereoSet
+https://doi.org/10.18653/v1/2021.acl-long.416
+
+Changes:
+Ukrainian machine translation, technical cleanup, and an experimental unlearning-oriented view of
+the StereoSet development set.

README.md

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 ---
+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.
+
+## 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
+
+```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/}
+}
+```