Misconceptions

The Misconceptions task aims to evaluate whether the model can distinguish popular misconceptions from factual truths by providing statements for the model to judge as correct or incorrect. This task falls under the Miscellaneous category and has significant application value, helping to improve the accuracy of the model in knowledge verification and information filtering.