SuperMat Dataset

A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way towards data-driven materials design. Herein, we present SuperMat (Superconductor Materials), an annotated corpus of linked data derived from scientific publications on superconductors, which comprises 142 articles, 16052 entities, and 1398 links that are characterised into six categories: the names, classes, and properties of materials; links to their respective superconducting critical temperature (Tc); and parametric conditions such as applied pressure or measurement methods. The construction of SuperMat resulted from a fruitful collaboration between computer scientists and material scientists, and its high quality is ensured through validation by domain experts. The quality of the annotation guidelines was ensured by satisfactory Inter Annotator Agreement (IAA) between the annotators and the domain experts.

在超导材料科学领域，越来越多的研究论文被发表。然而，为了有效地获取并利用这一积累的知识，仍需开发新的文本和数据挖掘（TDM）过程，以开辟数据驱动材料设计的途径。鉴于此，我们推出了SuperMat（超导材料），这是一个基于超导科学文献构建的关联数据语料库，包含142篇文章、16052个实体和1398个链接，这些链接被划分为六个类别：材料的名称、类别和性质；与各自超导临界温度（Tc）的链接；以及参数条件，如施加的压力或测量方法。SuperMat的构建得益于计算机科学家与材料科学家之间的富有成效的合作，其高质量通过领域专家的验证得到保证。注释指南的质量则通过注释者与领域专家之间令人满意的互评一致性（IAA）得到确保。