NFDI4DS发布12项学术文档处理共享任务，推动科研数据开放与可复现。
NFDI4DS Shared Tasks for Scholarly Document Processing
- 组织12项学术文档处理共享任务，统一评估标准。
- 产出开源数据集、模型与工具，支持社区复用。
- 促进科研数据的可发现、可访问、可互操作与可重用。
共享任务是通过社区协作实现标准化评估的强大工具，在推动可发现、可访问、可互操作、可重用（FAIR）以及透明和可复现的研究实践中发挥关键作用。本文介绍了德国国家数据科学与人工智能研究数据基础设施（NFDI4DS）联盟下开发并主办的12项共享任务的最新概况，涵盖学术文档处理中的多样化挑战。这些任务在顶级会议举办，推动方法创新，并贡献了开放获取的数据集、模型与工具，均被整合进联盟的研究数据基础设施中，服务于更广泛的科研群体。
原文摘要 · Abstract (English)
Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperable, and reusable (FAIR), as well as transparent and reproducible research practices. This paper presents an updated overview of twelve shared tasks developed and hosted under the German National Research Data Infrastructure for Data Science and Artificial Intelligence (NFDI4DS) consortium, covering a diverse set of challenges in scholarly document processing. Hosted at leading venues, the tasks foster methodological innovations and contribute open-access datasets, models, and tools for the broader research community, which are integrated into the consortium's research data infrastructure.
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