Hurtful Sentence Completion

The Hurtful Sentence Completion task, which falls under the domain of Natural Language Processing (NLP), aims to evaluate and measure a language model's capability to generate harmful content when completing sentences. This task systematically tests the model’s responses to specific prompts to identify outputs that could lead to psychological or emotional harm. Its goal is to enhance the safety and social responsibility of the model, reduce potential negative impacts, and ensure that the generated content is healthier and more positive. This research is of great value for optimizing the application environment of language models and improving user experience.