toucan-tool-agentic-data-synthesis

【数据与研究】Synthesize large-scale training data for LLM agents by generating diverse tool-use trajectories from real Model Context Protocol (MCP) environments. A 1.5M-example dataset created via multi-stage pipeline: query generation, quality filtering, trajectory creation with real tool execution, validation, and diversification.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准