This dataset accompanies the paper “Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review.” It contains systematic extractions from 154 grey literature sources, including 101 included sources and 518 coded behavioral units. The dataset now provides six sheets in the main workbook and an additional thematic-analysis workbook, enabling full transparency and reproducibility. The main file, Vibe Coding in Practice GLR DataSet.xlsx, includes: (1) GL_Screening_Data_Extraction (row-level quotes, interpretations, themes, and metadata); (2) GL_QA Scores & Evidence (quality assessment scores with justifications); (3) GL_QA Scoring Guide (the rubric used for QA scoring); (4) Stats (summary counts of sources and behavioral units); (5) Search Settings (search engine, query configurations, hit counts, and screening depth); (6) Behavioral_Units (compact raw evidence table containing Source ID, RQ, quote, interpretation, and final theme). A second file, AllThemes_Analysis.xlsx, provides theme-level summaries used in the paper, including definitions, frequencies, percentages, cross-RQ comparisons, and chart-ready data for all final themes across motivations, experiences, QA behaviors, and code-quality perceptions. Together, these files allow complete reproduction of the GLR process and support follow-up research on vibe-coding motivations, experiences, QA practices, and perceived code quality.