联想智能工厂实体识别及知识图谱数据集

联想智能工厂实体识别及知识图谱数据集来源于联想智能工厂实际生产数据和多样化的文档资料，综合了生产制造全过程的关键信息。具体包含了设备工艺步骤及其技术参数、原材料名称规格及供应商信息、质量检验流程等信息。数据的采集时间范围是2022年3月30日至2024年10月20日 ，包含超过175万条实体及其属性信息，同时标注了实体之间的关系类型，如“使用”、 “属于”等，以标准化的知识结构展现了智能工厂的完整生产运作链条。数据集在全生命周期内实施了全面的质量控制与保证措施，不仅具备高可信度和一致性，还为智能制造、工业信息提取和知识图谱应用提供了坚实的数据基础，充分体现了科学数据制备的规范性和可靠性。

The Lenovo Smart Factory Entity Recognition and Knowledge Graph Dataset is sourced from actual production data and diverse document materials of the Lenovo Smart Factory, integrating key information across the entire production and manufacturing lifecycle. Specifically, it includes equipment process steps and their technical parameters, raw material names, specifications and supplier information, quality inspection procedures, and other relevant content. The data collection period spans from March 30, 2022 to October 20, 2024, containing over 1.75 million entities and their attribute information, as well as annotated relationship types between entities such as 'uses' and 'belongs to'. It presents the complete production operation chain of the smart factory in a standardized knowledge framework. Comprehensive quality control and assurance measures have been implemented throughout the full lifecycle of this dataset. It not only exhibits high credibility and consistency, but also provides a solid data foundation for intelligent manufacturing, industrial information extraction, and knowledge graph applications, fully embodying the standardization and reliability of scientific data preparation.

搜集汇总

背景与挑战

背景概述

该数据集基于联想智能工厂的实际生产数据和文档构建，覆盖了从2022年3月30日至2024年10月20日期间的生产全过程关键信息，包括设备工艺、原材料、质量检验等，并包含超过175万条实体及其属性与关系标注。数据集经过严格质量控制，为智能制造和知识图谱应用提供了高可信度的数据基础。