Hate Speech Detection CrisisHateMM Benchmark

The Hate Speech Detection CrisisHateMM Benchmark is an evaluation standard designed for multimodal hate speech detection, aiming to improve the accuracy and robustness of natural language processing models in identifying and filtering hate speech on online platforms by combining text and image data. This benchmark not only aids academic research but also provides strong support for practical applications, effectively maintaining a healthy and safe online environment.