A Dataset For Music Analysis (FMA)

 FMA is a music analysis dataset consisting of full HQ audio, pre-computed features, and track and user-level metadata., which can be used to evaluate multiple tasks in MIR (Music Information Retrieva).

The following are the csv files contained in the dataset and their contents:

• tracks.csv: records the metadata of each track of each song, such as ID, song title, artist, genre, label and number of plays, totaling 106,574 songs.

• genres.csv: records the IDs and names of all 163 genres and the parent style names (used to infer genre hierarchy and parent genres).

• features.csv: records common features extracted by librosa.

• echonest.csv: Audio features provided by Echonest (now Spotify) for a subset of 13,129 tracks.