<i>Dataset and code supplement: Mapping gasification technologies and feedstocks with a dual validated large-scale literature-derived dataset</i>

The data collection was conducted on 23 October 2025 as part of a large-scale bibliometric and text-mining workflow. The dataset imposes no temporal limitation on publication year. It includes research articles published between 1954 and 2025, covering more than 6,500 peer-reviewed papers related to gasification technologies and their corresponding feedstocks. This broad temporal range enables longitudinal analysis of technological evolution, feedstock diversification, and research trends across seven decades of gasification research. This dataset provides a comprehensive, literature-derived mapping of gasification technologies and feedstocks, compiled through large-scale text mining, full-text parsing, and dual validation processes. It integrates metadata and extracted variables from more than 6,500 peer-reviewed publications (1954–2025) indexed in the Scopus database. The dataset captures detailed information on feedstock types, technological pathways, and contextual descriptors relevant to gasification and reforming processes. Each record includes: Publication metadata (title, DOI, abstract, year) Extracted feedstock terms and technology references Validation fields from both rule-based NLP and AI-based (GPT-4o-mini) methods Quality control flags for presence, usage, and contextual accuracy The dataset thus represents a dual-validated, large-scale resource enabling quantitative and qualitative analyses of trends, correlations, and technological evolution in gasification research.