Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
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Abstract (arXiv)
We present a new large-scale emotion-labeled symbolic music dataset consisting of 12k MIDI songs. To create this dataset, we first trained emotion classification models on the GoEmotions dataset, achieving state-of-the-art results with a model half the size of the baseline. We then applied these models to lyrics from two large-scale MIDI datasets. Our dataset covers a wide range of fine-grained emotions, providing a valuable resource to explore the connection between music and emotions and, especially, to develop models that can generate music based on specific emotions. Our code for inference, trained models, and datasets are available online.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 39 references that are in the map. First posted on arXiv 27 Jul 2023.
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14 of 39 references.
References · 14
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.