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The result is a public dataset called Emotify\u2009+\u2009with 10 different emotions. It can serve as a research tool in behavioural analysis, sentiment analysis, content analysis and automatic music creation. It can also be used for training small-scale supervised models for various machine learning tasks or simply as ground-truth data for evaluating such methods. In this paper, we provide a detailed report of the dataset and perform a statistical analysis to show the connection of emotions with music genres and other factors. Additionally, we present a baseline predictive model that uses audio features to predict the predominant emotions in a song excerpt. We evaluated two classifiers: support vector machine (SVM) and k-nearest neighbor (KNN). The KNN model significantly outperformed SVM across all performance metrics, achieving a high ROC AUC score (0.81 vs. 0.53), suggesting a more reliable classification. The findings reveal KNN as an effective baseline for music emotion classification in the Emotify dataset, particularly given the complexity of a multiclass task.<\/jats:p>","DOI":"10.1186\/s13636-025-00419-0","type":"journal-article","created":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:09:55Z","timestamp":1753884595000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Emotional response to music: the Emotify + dataset"],"prefix":"10.1186","volume":"2025","author":[{"given":"Abigail","family":"Wiafe","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sami","family":"Sieranoja","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abedin","family":"Bhuiyan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pasi","family":"Fr\u00e4nti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,30]]},"reference":[{"key":"419_CR1","volume-title":"The language of music","author":"D Cooke","year":"1959","unstructured":"D. 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