gtzan

• Description:

The dataset consists of 1000 audio tracks each 30 seconds long. It contains 10 genres, each represented by 100 tracks. The tracks are all 22050Hz Mono 16-bit audio files in .wav format.

The genres are:

• blues
• classical
• country
• disco
• hiphop
• jazz
• metal
• pop
• reggae

• rock

• Additional Documentation: Explore on Papers With Code

• Homepage: http://marsyas.info/index.html

• Source code: tfds.audio.gtzan.GTZAN

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 1.14 GiB

• Dataset size: 3.71 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'train'	1,000

• Feature structure:

FeaturesDict({
    'audio': Audio(shape=(None,), dtype=int64),
    'audio/filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=10),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
audio	Audio	(None,)	int64
audio/filename	Text		string
label	ClassLabel		int64

• Supervised keys (See as_supervised doc): ('audio', 'label')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@misc{tzanetakis_essl_cook_2001,
author    = "Tzanetakis, George and Essl, Georg and Cook, Perry",
title     = "Automatic Musical Genre Classification Of Audio Signals",
url       = "http://ismir2001.ismir.net/pdf/tzanetakis.pdf",
publisher = "The International Society for Music Information Retrieval",
year      = "2001"
}