GLM-5.2-Conversation is a dialogue trajectory dataset designed to provide a large-scale Chinese and English question-and-answer corpus for supervised fine-tuning (SFT) and inference capability distillation of large conversational models. This dataset contains 50,000These are dialogue trajectory samples generated by GLM-5.2 in High inference mode. Each sample consists of a user question and a complete inference response from the model, covering topics such as programming, mathematics, physics, creative writing, and logical question answering.

Data fields:

• messages: A list of conversation messages, each message containing two parts: role and content.