Omkar2118/datasets huggingface dataset:
ValueConsistency

ValueConsistency is a dataset of both controversial and uncontroversial questions in English, Chinese, German, and Japanese for topics from the U.S., China, Germany, and Japan. It was generated via prompting by GPT-4 and validated manually.

You can find details about how we made the dataset in the linked paper and in our code base.

    Curated by: Jared Moore, Tanvi Desphande, Diyi Yang
    Language(s) (NLP): English, Chinese (Mandarin), German, Japanese
    License: MIT

Introducing paper: Are Large Language Models Consistent over Value-laden Questions?