FMA
The Free Music Archive (FMA) is a large-scale dataset for evaluating several tasks in Music Information Retrieval. It consists of 343 days of audio from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a hierarchical taxonomy of 161 genres. It provides full-length and high-quality audio, pre-computed features, together with track- and user-level metadata, tags, and free-form text such as biographies. There are four subsets defined by the authors: * Full: the complete dataset, * Large: the full dataset with audio limited to 30 seconds clips extracted from the middle of the tracks (or entire track if shorter than 30 seconds), * Medium: a selection of 25,000 30s clips having a single root genre, * Small: a balanced subset containing 8,000 30s clips with 1,000 clips per one of 8 root genres. The official split into training, validation and test sets (80/10/10) uses stratified sampling to preserve the percentage of tracks per genre. Songs of the same artists are part of one set only. Source: FMA: A Dataset For Music Analysis Audio Source: https://github.com/mdeff/fma