XYZ-Aquila SFT is a multi-turn trajectory dataset for search agents released by XYZAILab. It aims to provide high-quality bilingual multi-turn toolcall trajectory data for supervised fine-tuning (SFT) of search agents. This dataset contains 7,000 multi-turn search-oriented tool usage trajectories, including 5,000 in English and 2,000 in Chinese. It is a sample of the supervised fine-tuning corpus used by the XYZ-Aquila-mini and XYZ-Aquila-pro models. Each sample fully records one agent interaction process, covering the search tool invocation, intermediate observations, and the generation of both Chinese and English responses.

Data fields:

• Question: User Question
• Answer: Final Answer
• Number of tool calls: Total number of tool calls in the trajectory
• Trajectory: An ordered list of multi-turn interaction messages containing the roles of system, user, and assistant, recording tool definition, reasoning process, tool invocation, and response.