Datasets: AI and NLP Approaches for Automating Data Extraction in Systematic Literature Reviews — extraction corpus and quality scores (144 studies, 2020–2026)

Extraction dataset and quality-assessment scores for the systematic review of AI/NLP data-extraction automation (144 included studies, 2020–2026). S1a: bibliographic and coding fields; S1b: models, evaluation, findings, limitations; S2: per-study quality scores. Includes the codebook and the full database search-query strings. Records keyed by Corpus ID.