Therefore, effective filtering of the raw data becomes essential. Specifically, to prevent the inclusion of bias, violence,
explicit content, offensive language, etc., we employ the multimodal language model Qwen-VL [1] as a checker for the
initial screening of the raw data. This screening is performed by constructing safety-checking prompts. The design of the
screening template for Qwen-VL is outlined as follows:
Let’sThinkOutsidetheBox