This curated dataset contains detailed music reviews scraped from Metacritic, covering hundreds of albums across genres. Delivered in CSV format, it includes critic scores, review excerpts, album names, artists, release years, and publication sources. Ideal for machine learning, sentiment analysis, data journalism, and research in music trends or media bias.

Whether you're building a recommender system, training a model on music-related sentiment, or visualizing the evolution of critical reception in music — this dataset gives you a powerful head start.