MuLMS

Multi-Layer Materials Science

TextsCC BY-SA 4.0Introduced 2023-10-24

The Multi-Layer Materials Science corpus (MuLMS) consists of 50 documents (licensed CC BY) from the materials science domain, spanning across the following 7 subareas: "Electrolysis", "Graphene", "Polymer Electrolyte Fuel Cell (PEMFC)", "Solid Oxide Fuel Cell (SOFC)", "Polymers", "Semiconductors" and "Steel". It was exhaustively annotated by domain experts. There are annotations on sentence-level and token-level for the following NLP tasks: measurement frame detection, NER, relation extraction, and argumentative zones classifications.