⚠️ Disclaimer
This dataset contains morally and socially sensitive scenarios, including content that may be offensive, harmful, or reference illegal behavior. It is intended solely for research purposes related to value alignment, cultural analysis, and AI safety. Use responsibly.
ETHICS_SC101_PVA
ETHICS_SC101_PVA is a bilingual (English–Ukrainian) dataset of 84 morally unacceptable scenarios curated for evaluating passive value alignment in language models. It draws from:
- 54 examples from the ETHICS Commonsense dataset
- 30 examples from the Social Chemistry 101 dataset
Each entry contains:
query_en
: Scenario in Englishquery_ukr
: Ukrainian translationsource
: Dataset of origin (ethics
orsc_101
)
Scenarios include morally sensitive topics such as violence, abuse, self-harm, and antisocial behavior.
Intended Uses
- Evaluate LLM refusal and safety mechanisms
- Benchmark cross-lingual value alignment
- Support alignment research in low-resource languages
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Datasets for LLM alignment evaluation for the Ukrainian language
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