LatentJam Dataset

This LatentJam dataset contains 12 music latent representations (9 content-based and 3 collaborative-filtering) for 29 275 music tracks from Jamendo. It is released as part of the publication "Similarity of Nearest-Neighbor Query Results in Deep Latent Spaces". For more details on the individual models used for extraction, refer to the text of the paper. The example code that uses this dataset and reproduces the experiments and analysis done in the paper is available at https://github.com/philtgun/compare-embeddings. See the README for more details on how to use this dataset and individual files. The content-based representations have been extracted with the Essentia library (essentia-tensorflow 2.1b6.dev374) during the internship of the first author in the Jamendo in 2021 as part of the MIP-Frontiers project. The collaborative filtering representations have been computed from data provided by Jamendo with the Implicit library (AlternatingLeastSquares algorithm, implicit 0.4.4). The Python version used is 3.7.13.<br> This dataset is released under CC BY-NC-SA 4.0 License. Please cite the publication if you use this dataset: <pre><code>@inproceedings{tovstogan_similarity_2009, title = {Similarity of nearest-neighbor query results in deep latent spaces}, author = {Tovstogan, Philip and Serra, Xavier and Bogdanov, Dmitry}, booktitle = {Proceedings of the 19th Sound and Music Computing Conference ({SMC})}, year = {2022} }</code></pre>本LatentJam数据集包含来自Jamendo的29275首音乐曲目的12种音乐隐空间表征（其中9种基于内容，3种基于协同过滤）。本数据集作为论文《深度隐空间中最近邻查询结果的相似性》（*Similarity of Nearest-Neighbor Query Results in Deep Latent Spaces*）的附属研究资源发布。若需了解用于提取这些表征的各模型的详细信息，请查阅该论文正文。使用本数据集复现论文中实验与分析的示例代码可从以下地址获取：https://github.com/philtgun/compare-embeddings。如需了解本数据集及各文件的使用方法，请参阅README文档。基于内容的表征由第一作者于2021年在Jamendo实习期间，作为MIP-Frontiers项目的一部分，使用Essentia库（essentia-tensorflow 2.1b6.dev374）提取得到。基于协同过滤的表征则由Jamendo提供的数据集，结合Implicit库（AlternatingLeastSquares算法，implicit 0.4.4）计算生成。本次实验所使用的Python版本为3.7.13。本数据集采用CC BY-NC-SA 4.0协议进行发布。若您使用本数据集，请引用如下论文： <pre><code>@inproceedings{tovstogan_similarity_2009, title = {Similarity of nearest-neighbor query results in deep latent spaces}, author = {Tovstogan, Philip and Serra, Xavier and Bogdanov, Dmitry}, booktitle = {Proceedings of the 19th Sound and Music Computing Conference ({SMC})}, year = {2022} }</code></pre>