近日，《人工智能　关键基础技术　具身智能数据集质量要求及评价方法》由工业和信息化部批准发布，将于2026年11月1日正式实施。该标准由中国信息通信研究院联合行业40余家单位起草编制，其发布标志着具身智能数据集建设从“规模导向”向“质量导向”转变，有效填补具身智能数据方向的行业标准空白，为具身智能领域的高质量数据集建设奠定基础。

当前，具身智能沿着大模型“大力出奇迹”的思路，已多次验证数据对具身智能模型的提升作用。2026年，百万小时的数据产能被视为企业研发模型的硬性门槛。行业持续聚焦具身智能数据，不断推出开源数据集，具身智能训练场建设如火如荼。然而，这些数据是否可用、是否好用，业内判断标准不一，导致数据集质量难把控、不同数据集难整合等问题突出。

为解决上述问题，该标准规定了具身智能数据集质量要求框架及评价方法，包括数据生产操作规范、组织机制保障和质量评价指标三方面。其中，具身智能数据集质量评价指标涵盖完整性、一致性、多样性、真实性、易用性、实用性、可扩展性和安全性八个维度。

该行业标准的制定，对拉通具身智能数据集供需双方、推动具身智能数据集高质量建设和互通共享具有重要意义。对于数据提供方，统一的质量要求可帮助其规范数据生产流程，明确数据交付质量底线，降低供需双方的沟通成本；对于数据需求方，能够提供清晰的质量验收依据，更高效地筛选匹配自身模型训练需求的优质数据集，降低数据采购和使用风险；对于整个行业，将推动具身智能数据领域的规范化发展，促进优质数据的流通共享，助力具身智能技术和产业健康良性发展。

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来源丨人民邮电报

值班编辑丨钟秋月

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监制丨陈波  刘卫民  

出品丨数智湃融媒工作室

主编丨刘晨曦