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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.
music-dataset, mir, latin-dataset
music-dataset, mir, latin-dataset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 2 |

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