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Upload Ukrainian unlearning dataset (#1)

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- Upload Ukrainian unlearning dataset (162302f6afe65ea601240d032e5d0cfe5b8795c6)

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  1. LICENSE +14 -0
  2. README.md +63 -0
  3. data/train.csv +0 -0
LICENSE ADDED
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+ StereoSet-UK Unlearning is licensed under the Creative Commons Attribution-ShareAlike 4.0
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+ International license (CC BY-SA 4.0).
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+
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+ License terms:
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+ https://creativecommons.org/licenses/by-sa/4.0/legalcode
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+
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+ Original work:
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+ StereoSet by Moin Nadeem, Anna Bethke, and Siva Reddy
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+ https://github.com/moinnadeem/StereoSet
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+ https://doi.org/10.18653/v1/2021.acl-long.416
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+
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+ Changes:
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+ Ukrainian machine translation, technical cleanup, and an experimental unlearning-oriented view of
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+ the StereoSet development set.
README.md CHANGED
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  ---
 
 
 
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  license: cc-by-sa-4.0
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ pretty_name: "StereoSet-UK Unlearning"
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+ language:
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+ - uk
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  license: cc-by-sa-4.0
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+ tags:
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+ - stereoset
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+ - ukrainian
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+ - machine-unlearning
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+ - bias
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train.csv
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  ---
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+
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+ # StereoSet-UK Unlearning
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+
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+ StereoSet-UK Unlearning contains 2,101 Ukrainian full-sentence triplets derived from the
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+ intrasentence portion of the StereoSet development set. The Ukrainian sentences were translated
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+ with the DeepL API and received technical cleanup. English source text is omitted.
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+
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+ Each triplet assigns the stereotype sentence to `forget_uk`, the anti-stereotype sentence to
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+ `retain_uk`, and the unrelated sentence to `control_uk`. Five items with duplicate translated
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+ candidates were excluded.
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+
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+ The 79 source targets use unique, standardized Ukrainian labels. The labels are metadata values
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+ and are independent of grammatical inflections inside the full sentences.
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+
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+ The role assignment is an experimental unlearning view created for this release. StereoSet's
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+ original scope is stereotypical-bias evaluation. A separate retain corpus is still needed to
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+ preserve general language ability and factual knowledge.
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+
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+ ## Fields
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+
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+ | Field | Description |
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+ | --- | --- |
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+ | `item_id` | Original StereoSet item identifier |
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+ | `bias_type_uk` | Ukrainian bias-category label |
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+ | `target_uk` | Canonical Ukrainian label for the bias target |
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+ | `forget_uk` | Full Ukrainian stereotype sentence |
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+ | `retain_uk` | Full Ukrainian anti-stereotype sentence |
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+ | `control_uk` | Full Ukrainian unrelated sentence |
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+
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+ This is a provisional machine-translated research dataset. Human validation is still required.
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+
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+ ## Source and license
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+
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+ This dataset is derived from [StereoSet](https://github.com/moinnadeem/StereoSet) at source commit
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+ `ead7d086a64a192a1eca88e0dd2fd163de375218`. The source and this translation use the
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+ [Creative Commons Attribution-ShareAlike 4.0 International license](https://creativecommons.org/licenses/by-sa/4.0/).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{nadeem-etal-2021-stereoset,
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+ title = {{StereoSet}: Measuring stereotypical bias in pretrained language models},
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+ author = {Nadeem, Moin and Bethke, Anna and Reddy, Siva},
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+ booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing},
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+ year = {2021},
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+ pages = {5356--5371},
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+ doi = {10.18653/v1/2021.acl-long.416},
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+ url = {https://aclanthology.org/2021.acl-long.416/}
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+ }
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+ ```
data/train.csv ADDED
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