The small version of 4MuLA Dataset consists of 9661 musics represents by melspectrogram and metadata. The subset contains 51 genres and 491 artists. The audio file is not available. All attributes are: [ 'music_id', 'music_name', 'music_lang', 'music_lyrics', 'art_id', 'art_name', 'art_rank', 'main_genre', 'related_genre', 'related_art', 'related_music', 'musicnn_tags', 'melspectrogram' ] See more in the paper 4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features or 4mulaDataset github repository
This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, dance...
Mood is an emerging metadata type and access point in music digital libraries (MDL) and online music...
MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave ...
MuMu is a Multimodal Music dataset with multi-label genre annotations that combines information from...
The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Musi...
This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. ...
Music mood is a newly emerged metadata type and access point to music information. However, most exi...
Περιέχει το πλήρες κείμενοMultimedia data by definition comprises several different types of conten...
<p>The Million Song Dataset (https://labrosa.ee.columbia.edu/millionsong/) is a collection of metada...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
The MSD-A is a dataset related to the Million Song Dataset (MSD). It is a collection of artist tags ...
The AcousticBrainz Genre Dataset consists of four datasets of genre annotations and music features e...
We release the data required to reproduce the cross-lingual music genre translation experiments from...
The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and ...
Music information retrieval has lately become an important field of information retrieval, because b...
This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, dance...
Mood is an emerging metadata type and access point in music digital libraries (MDL) and online music...
MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave ...
MuMu is a Multimodal Music dataset with multi-label genre annotations that combines information from...
The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Musi...
This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. ...
Music mood is a newly emerged metadata type and access point to music information. However, most exi...
Περιέχει το πλήρες κείμενοMultimedia data by definition comprises several different types of conten...
<p>The Million Song Dataset (https://labrosa.ee.columbia.edu/millionsong/) is a collection of metada...
This dataset contains the multitask annotation for the Raags in the Carnatic style of Indian classic...
The MSD-A is a dataset related to the Million Song Dataset (MSD). It is a collection of artist tags ...
The AcousticBrainz Genre Dataset consists of four datasets of genre annotations and music features e...
We release the data required to reproduce the cross-lingual music genre translation experiments from...
The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and ...
Music information retrieval has lately become an important field of information retrieval, because b...
This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, dance...
Mood is an emerging metadata type and access point in music digital libraries (MDL) and online music...
MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave ...