This upload contains the supplementary material for our paper presented at the MMM2024 conference. Dataset The dataset contains rich text descriptions for music audio files collected from Wikipedia articles. The audio files are freely accessible and available for download through the URLs provided in the dataset. Example A few hand-picked, simplified examples of the dataset. file aspects sentences 🔈 Bongo sound.wav ['bongoes', 'percussion instrument', 'cumbia', 'drums'] ['a loop of bongoes playing a cumbia beat at 99 bpm'] 🔈 Example of double tracking in a pop-rock song (3 guitar tracks).ogg ['bass', 'rock', 'guitar music', 'guitar', 'pop', 'drums'] ['a pop-rock song'] 🔈 OriginalDixielandJassBand-JazzMeBlues.ogg ['jazz standard', 'instrumental', 'jazz music', 'jazz'] ['Considered to be a jazz standard', 'is an jazz composition'] 🔈 Colin Ross - Etherea.ogg ['chirping birds', 'ambient percussion', 'new-age', 'flute', 'recorder', 'single instrument', 'woodwind'] ['features a single instrument with delayed echo, as well as ambient percussion and chirping birds', 'a new-age composition for recorder'] 🔈 Belau rekid (instrumental).oga ['instrumental', 'brass band'] ['an instrumental brass band performance'] ... ... ... Dataset structure We provide three variants of the dataset in the data folder. All are described in the paper. all.csv contains all the data we collected, without any filtering. filtered_sf.csv contains the data obtained using the self-filtering method. filtered_mc.csv contains the data obtained using the MusicCaps dataset method. File structure Each CSV file contains the following columns: file: the name of the audio file pageid: the ID of the Wikipedia article where the text was collected from aspects: the short-form (tag) description texts collected from the Wikipedia articles sentences: the long-form (caption) description texts collected from the Wikipedia articles audio_url: the URL of the audio file url: the URL of the Wikipedia article where the text was collected from Citation If you use this dataset in your research, please cite the following paper: @inproceedings{wikimute, title = {WikiMuTe: {A} Web-Sourced Dataset of Semantic Descriptions for Music Audio}, author = {Weck, Benno and Kirchhoff, Holger and Grosche, Peter and Serra, Xavier}, booktitle = "MultiMedia Modeling", year = "2024", publisher = "Springer Nature Switzerland", address = "Cham", pages = "42--56", doi = {10.1007/978-3-031-56435-2_4}, url = {https://doi.org/10.1007/978-3-031-56435-2_4},} License The data is available under the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license. Each entry in the dataset contains a URL linking to the article, where the text data was collected from.