HellaSwag

HellaSwag is a commonsense reasoning benchmark that evaluates AI models' ability to complete natural language scenarios with the most plausible ending. Created using Adversarial Filtering, this dataset features video caption segments with multiple-choice options where models must select logical conclusions. HellaSwag tests models' understanding of everyday situations and common sense reasoning through challenging adversarial examples.