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On October 17, 2026, the Institute of Artificial Intelligence of the China Academy of Information and Communications Technology (CAICT), together with Lenovo (Beijing) Co., Ltd. and the Data Committee of the Artificial Intelligence Industry Alliance (AIIA), released the "Guidelines for Building High-Quality Datasets for Agent Capability Development (2026)." The guidelines propose an overall framework, key methods, and implementation paths for building industry high-quality datasets oriented toward agent capability development. Centered on six core capabilities—environmental perception, task planning, tool invocation, multi-turn interaction, security and controllability, and industry applications—they analyze the data types and construction priorities required for each capability, and provide references based on practices in fields such as enterprise operations and maintenance, healthcare, communications, intellectual property, automotive, industrial parks, and scientific research. The guidelines have now been publicly released, and no further developments have been disclosed.
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CAICT, Lenovo, and AIIA Data Committee Release Guide for Building Agent Datasets
Source:Smart City Industry Analysis
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Oct 17
Smart City Industry Analysis
CAICT, Lenovo, and the AIIA Data Committee Release the "Guidelines for Building High-Quality Datasets for Agent Capability Construction (2026)"
The Artificial Intelligence Research Institute of the China Academy of Information and Communications Technology (CAICT), together with Lenovo (Beijing) Co., Ltd. and the Data Committee of the Artificial Intelligence Industry Alliance (AIIA), released the "Guidelines for Building High-Quality Datasets for Agent Capability Construction (2026)," which proposes an overall framework, key methods, and implementation paths for building high-quality industry datasets oriented toward agent capability construction. Centered on six core capabilities—environmental perception, task planning, tool invocation, multi-turn interaction, security and controllability, and industry application—the guidelines analyze the data types and construction priorities required for each capability, and provide references based on practices in fields such as enterprise operations and maintenance, healthcare, communications, intellectual property, automobiles, industrial parks, and scientific research.