Core Ontologies for Safe Autonomous Driving
SC-CoMIcs (Superconductivity Corpus for Materials Informatics)
Please cite the dataset:
Yamaguchi, Kyosuke; Asahi, Ryoji; Sasaki, Yutaka (2021), “SC-CoMIcs (Superconductivity Corpus for Materials Informatics)”, Mendeley Data, V1, doi: 10.17632/xc9fjz2p3h.1
Materials Informatics (MI) needs textual datasets to accelerate the studies in this area, but there is no sizable datasets suitable for our superconducting material search. In this respect, we decided to create a new corpus from scratch for MI information extraction.
SC-CoMIcs is the corpus that can contribute to the advancement of MI studies, especially in supercon.
Descriptions and experiment tools over the dataset can be found at github.
Suercondictivity information extraction dataset can be downloaded from Mendeley Data. Note that you need to agree the license displayed. The annotations are available under Creative Commons BY 4.0. The set of 1000 MI abstracts are specially
permitted to share in the research community under Creative Commons BY-NC 3.0 by Elsevier under a written agreement (#200221-005626). This is the strict condition you MUST obey.
Yamaguchi, Kyosuke; Asahi, Ryoji; Sasaki, Yutaka (2021), “SC-CoMIcs (Superconductivity Corpus for Materials Infomatics)”, Mendeley Data, V3, doi: 10.17632/xc9fjz2p3h.3