Music4All Database

ABSTRACT

One of the goals of the music information retrieval (MIR) community is to research new methods and create new systems that can efficiently and effectively retrieve and recommend songs from large databases of music content. Despite the volume of research in the area, there is a lack of  music  databases  to  support  these  works,  i.e.  databases that comply with some quite desirable requirements for the development of researches, such as: a huge amount of music pieces, the audio signal availability and a great diversity of audio attributes. In order to contribute to the MIR community, we present Music4All, a new music database which contains metadata, tags, genre information, 30-seconds audio clips, lyrics, and so on. More information about how this database was developed can be found in [1].


DATABASE INFORMATION

The zip file that you have downloaded contains the Music4All database. All CSV files have their attributes/columns separated by a '\t' character. 
The CSV files are the following:

- listening_history.csv: The listening history for each user in the database. There are three attributes in this file: user, song and timestamp. 

- id_tags.csv: This file contains the id for each song and the tags associated with it. The sets of tags are separated by a comma.

- id_genres.csv: This file contains the id for each song and the genres associated with it. The genres are separated by a comma.

- id_information.csv: This file contains the id of the song along with basic information about it, namely artist, song name and album name.

- id_metadata.csv: This file contains the id of the song and its attributes obtained through the Spotify official API, including their Spotify id.

- id_lang.csv: This file contains the id of the song and the language of the lyrics.

Additionally, we also have two foldes in this database: audios and lyrics. 

- audios: In this folder there are only files in the following format: <song_id>.mp3. The files contain 30-seconds audio clips.

- lyrics: In this folder, there are only files in the following format: <song_id>.txt. Each file contains a lyric for a song.


REFERENCE

[1] Igor André Pegoraro Santana and Fabio Pinhelli and Juliano Donini and Leonardo Catharin and Rafael Biazus Mangolin and Yandre Costa and Valéria Feltrim and Marcos Domingues. Music4All: A New Music Database and its Applications. In: International Journal of Multimedia Information Retrieval (IJMIR). 2020.


CONTACT

For any issue, please contact us by sending an e-mail to contact4Music4All@gmail.com.