Upload Ukrainian evaluation dataset

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by reirei01 - opened
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  1. LICENSE +14 -0
  2. README.md +65 -0
  3. data/validation.csv +0 -0
LICENSE ADDED
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+ StereoSet-UK Eval is licensed under the Creative Commons Attribution-ShareAlike 4.0 International
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+ 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 mechanically derived masked evaluation items
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+ from 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 Eval"
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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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+ - bias-evaluation
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: validation
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+ path: data/validation.csv
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  ---
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+
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+ # StereoSet-UK Eval
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+
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+ StereoSet-UK Eval contains 949 Ukrainian masked triplets derived from the intrasentence portion
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+ of the StereoSet development set. The Ukrainian full sentences were translated with the DeepL API
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+ and received technical cleanup. English source text is omitted.
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+
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+ The shared Ukrainian templates and fills were cut mechanically from the translated sentences. All
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+ three candidates reconstruct their corresponding full sentence exactly. Each retained template
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+ passed the automated frame-alignment rules: its fixed-frame ratio is within 0.20 of the English
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+ source ratio, the number of mask occurrences is unchanged, and the Ukrainian fills do not share
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+ context word forms or stems absent from the English fills.
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+
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+ The 79 source targets use unique, standardized Ukrainian labels. Aggregation by `target_uk`
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+ therefore preserves the original target boundaries used for LMS, SS, and ICAT.
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+
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+ This is a partial evaluation subset. Report scores as results on the 949-item StereoSet-UK Eval
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+ subset. Full StereoSet development-set scores require complete development-set coverage.
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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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+ | `template_uk` | Shared Ukrainian sentence containing `[BLANK]` |
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+ | `stereotype_fill_uk` | Ukrainian stereotype completion |
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+ | `anti_stereotype_fill_uk` | Ukrainian anti-stereotype completion |
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+ | `unrelated_fill_uk` | Ukrainian unrelated completion |
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+
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+ For evaluation, score all three fills in the same `template_uk`. This is a provisional
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+ 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/validation.csv ADDED
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