A Structured Human-Annotated Dataset for Food Extrusion Literature

This dataset is a manually curated collection of structured data extracted from peer-reviewed food extrusion research articles. The dataset captures key parameters relevant to food extrusion processes, including equipment configurations, processing conditions, formulation details, and characterization methods. It is intended to support literature synthesis, meta-analyses, and knowledge representation in food extrusion research. This dataset provides a searchable, structured repository for researchers to efficiently access and analyse trends in food extrusion studies beyond what is typically available in standard academic databases.\nLineage: This dataset was manually curated from 335 peer-reviewed food extrusion research articles sourced from the Web of Science database. The literature search used the following search syntax: "extru*" (Topic) AND "food" (Topic) NOT “packaging” (Topic). WoS Category filter: Food Science Technology, Nutrition & Dietetics, and Agriculture Dairy Animal Science. Key parameters—including equipment configurations, processing conditions, formulation details, and characterisation methods—were extracted, structured, and categorised by a domain expert in food engineering following a predefined schema. Citation screening was performed to ensure dataset quality.