FC-CoMIcs (Fuel Cell Corpus for Materials Informatics)

We provide model-generated annotations extracted from the literature. This corpus contains automatically extracted annotations from ~1000 scientific articles related to Oxygen Reduction Reaction (ORR) catalysts for fuel cells. The annotations were generated using our trained Named Entity Recognition (NER) and Relation Extraction (RE) model. FC-CoMIcs is the corpus that can contribute to the advancement of Materials Informatics (MI) studies, particularly in the field of polymer electrolyte fuel cell.

The dataset includes a text file listing the DOIs of the annotated articles, along with the corresponding Brat annotation files (.ann), which contain the extracted entities and relationships. The annotations follow a standard annotation scheme, ensuring usability for both Natural Language Processing (NLP) and fuel cell research.