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benjamin-paine
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free-music-archive-full

Tasks:
Audio-to-Audio
Audio Classification
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Audio
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100K - 1M
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Tags:
fma
free-music-archive
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---
license: cc
size_categories:
- 100K<n<1M
task_categories:
- audio-to-audio
- audio-classification
pretty_name: Free Music Archive - Full
dataset_info:
features:
- name: audio
dtype: audio
- name: title
dtype: string
- name: url
dtype: string
- name: artist
dtype: string
- name: composer
dtype: string
- name: lyricist
dtype: string
- name: publisher
dtype: string
- name: genres
sequence:
class_label:
names:
'0': 20th Century Classical
'1': Abstract Hip-Hop
'2': African
'3': Afrobeat
'4': Alternative Hip-Hop
'5': Ambient
'6': Ambient Electronic
'7': Americana
'8': Asia-Far East
'9': Audio Collage
'10': Avant-Garde
'11': Balkan
'12': Banter
'13': Be-Bop
'14': Big Band/Swing
'15': Bigbeat
'16': Black-Metal
'17': Bluegrass
'18': Blues
'19': Bollywood
'20': Brazilian
'21': Breakbeat
'22': Breakcore - Hard
'23': British Folk
'24': Celtic
'25': Chamber Music
'26': Chill-out
'27': Chip Music
'28': Chiptune
'29': Choral Music
'30': Christmas
'31': Classical
'32': Comedy
'33': Compilation
'34': Composed Music
'35': Contemporary Classical
'36': Country
'37': Country & Western
'38': Cumbia
'39': Dance
'40': Death-Metal
'41': Deep Funk
'42': Disco
'43': Downtempo
'44': Drone
'45': Drum & Bass
'46': Dubstep
'47': Easy Listening
'48': 'Easy Listening: Vocal'
'49': Electro-Punk
'50': Electroacoustic
'51': Electronic
'52': Europe
'53': Experimental
'54': Experimental Pop
'55': Fado
'56': Field Recordings
'57': Flamenco
'58': Folk
'59': Freak-Folk
'60': Free-Folk
'61': Free-Jazz
'62': French
'63': Funk
'64': Garage
'65': Glitch
'66': Gospel
'67': Goth
'68': Grindcore
'69': Hardcore
'70': Hip-Hop
'71': Hip-Hop Beats
'72': Holiday
'73': House
'74': IDM
'75': Improv
'76': Indian
'77': Indie-Rock
'78': Industrial
'79': Instrumental
'80': International
'81': Interview
'82': Jazz
'83': 'Jazz: Out'
'84': 'Jazz: Vocal'
'85': Jungle
'86': Kid-Friendly
'87': Klezmer
'88': Krautrock
'89': Latin
'90': Latin America
'91': Lo-Fi
'92': Loud-Rock
'93': Lounge
'94': Metal
'95': Middle East
'96': Minimal Electronic
'97': Minimalism
'98': Modern Jazz
'99': Musical Theater
'100': Musique Concrete
'101': N. Indian Traditional
'102': Nerdcore
'103': New Age
'104': New Wave
'105': No Wave
'106': Noise
'107': Noise-Rock
'108': North African
'109': Novelty
'110': Nu-Jazz
'111': Old-Time / Historic
'112': Opera
'113': Pacific
'114': Poetry
'115': Polka
'116': Pop
'117': Post-Punk
'118': Post-Rock
'119': Power-Pop
'120': Progressive
'121': Psych-Folk
'122': Psych-Rock
'123': Punk
'124': Radio
'125': Radio Art
'126': Radio Theater
'127': Rap
'128': Reggae - Dancehall
'129': Reggae - Dub
'130': Rock
'131': Rock Opera
'132': Rockabilly
'133': Romany (Gypsy)
'134': Salsa
'135': Shoegaze
'136': Singer-Songwriter
'137': Skweee
'138': Sludge
'139': Soul-RnB
'140': Sound Art
'141': Sound Collage
'142': Sound Effects
'143': Sound Poetry
'144': Soundtrack
'145': South Indian Traditional
'146': Space-Rock
'147': Spanish
'148': Spoken
'149': Spoken Weird
'150': Spoken Word
'151': Surf
'152': Symphony
'153': Synth Pop
'154': Talk Radio
'155': Tango
'156': Techno
'157': Thrash
'158': Trip-Hop
'159': Turkish
'160': Unclassifiable
'161': Western Swing
'162': Wonky
'163': hiphop
- name: tags
sequence: string
- name: released
dtype: timestamp[s]
- name: language
dtype: string
- name: listens
dtype: uint64
- name: artist_url
dtype: string
- name: artist_website
dtype: string
- name: album_title
dtype: string
- name: album_url
dtype: string
- name: license
dtype:
class_label:
names:
'0': CC-BY 1.0
'1': CC-BY 2.0
'2': CC-BY 2.5
'3': CC-BY 3.0
'4': CC-BY 4.0
'5': CC-BY-NC 2.0
'6': CC-BY-NC 2.1
'7': CC-BY-NC 2.5
'8': CC-BY-NC 3.0
'9': CC-BY-NC 4.0
'10': CC-BY-NC-ND 2.0
'11': CC-BY-NC-ND 2.1
'12': CC-BY-NC-ND 2.5
'13': CC-BY-NC-ND 3.0
'14': CC-BY-NC-ND 4.0
'15': CC-BY-NC-SA 2.0
'16': CC-BY-NC-SA 2.1
'17': CC-BY-NC-SA 2.5
'18': CC-BY-NC-SA 3.0
'19': CC-BY-NC-SA 4.0
'20': CC-BY-ND 2.0
'21': CC-BY-ND 2.5
'22': CC-BY-ND 3.0
'23': CC-BY-ND 4.0
'24': CC-BY-SA 2.0
'25': CC-BY-SA 2.5
'26': CC-BY-SA 3.0
'27': CC-BY-SA 4.0
'28': CC-NC-Sampling+ 1.0
'29': CC-Sampling+ 1.0
'30': CC0 1.0
'31': FMA Sound Recording Common Law
'32': Free Art License
'33': Free Music Philosophy (FMP)
'34': Public Domain Mark 1.0
- name: copyright
dtype: string
- name: explicit
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
- name: instrumental
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
- name: allow_commercial_use
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
- name: allow_derivatives
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
- name: require_attribution
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
- name: require_share_alike
dtype:
class_label:
names:
'0': 'No'
'1': 'Yes'
splits:
- name: train
num_bytes: 748069984611.833
num_examples: 106199
download_size: 954754676934
dataset_size: 748069984611.833
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- fma
- free-music-archive
---
# Notice
**There was an issue with some files in this dataset.** I am reprocessing it, please hang tight, it takes several days! (2024-09-13)
# FMA: A Dataset for Music Analysis
[Michaël Defferrard](https://deff.ch/), [Kirell Benzi](https://kirellbenzi.com/), [Pierre Vandergheynst](https://people.epfl.ch/pierre.vandergheynst), [Xavier Bresson](https://www.ntu.edu.sg/home/xbresson).
**International Society for Music Information Retrieval Conference (ISMIR), 2017.**
> We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections. The community's growing interest in feature and end-to-end learning is however restrained by the limited availability of large audio datasets. The FMA aims to overcome this hurdle by providing 917 GiB and 343 days of Creative Commons-licensed audio from 106,574 tracks from 16,341 artists and 14,854 albums, arranged in a hierarchical taxonomy of 161 genres. It provides full-length and high-quality audio, pre-computed features, together with track- and user-level metadata, tags, and free-form text such as biographies. We here describe the dataset and how it was created, propose a train/validation/test split and three subsets, discuss some suitable MIR tasks, and evaluate some baselines for genre recognition. Code, data, and usage examples are available at https://github.com/mdeff/fma.
Paper: [arXiv:1612.01840](https://arxiv.org/abs/1612.01840) - [latex and reviews](https://github.com/mdeff/paper-fma-ismir2017)
Slides: [doi:10.5281/zenodo.1066119](https://doi.org/10.5281/zenodo.1066119)
Poster: [doi:10.5281/zenodo.1035847](https://doi.org/10.5281/zenodo.1035847)
# This Pack
This is the **full** dataset, comprising a total of **105,024 samples** clips of **untrimmed length** over **16** *unbalanced* genres totaling **8,104 hours** of audio.
## Repack Notes
- 173 files were unreadable by `libsndfile / libmpg123`, these were removed.
- 1377 files had licenses that were unclear on whether or not they permitted redistribution, or the full license text was unavailable. These were removed.
# License
- The [FMA codebase](https://github.com/mdeff/fma) is released under [The MIT License](https://github.com/mdeff/fma/blob/master/LICENSE.txt).
- The FMA metadata is released under [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0).
- The individual files are released under various Creative Commons family licenses, with a small amount of additional licenses. **Each file has its license attached and important details of the license enumerated.** To make it easy to use for developers and trainers, a configuration is available to limit only to commercially-usable data.
Please refer to any of the following URLs for additional details.
| Class Label | License Name | URL |
| ----------- | ------------ | --- |
| 0 | CC-BY 1.0 | https://creativecommons.org/licenses/by/1.0/ |
| 1 | CC-BY 2.0 | https://creativecommons.org/licenses/by/2.0/ |
| 2 | CC-BY 2.5 | https://creativecommons.org/licenses/by/2.5/ |
| 3 | CC-BY 3.0 | https://creativecommons.org/licenses/by/3.0/ |
| 4 | CC-BY 4.0 | https://creativecommons.org/licenses/by/4.0/ |
| 5 | CC-BY-NC 2.0 | https://creativecommons.org/licenses/by-nc/2.0/ |
| 6 | CC-BY-NC 2.1 | https://creativecommons.org/licenses/by-nc/2.1/ |
| 7 | CC-BY-NC 2.5 | https://creativecommons.org/licenses/by-nc/2.5/ |
| 8 | CC-BY-NC 3.0 | https://creativecommons.org/licenses/by-nc/3.0/ |
| 9 | CC-BY-NC 4.0 | https://creativecommons.org/licenses/by-nc/4.0/ |
| 10 | CC-BY-NC-ND 2.0 | https://creativecommons.org/licenses/by-nc-nd/2.0/ |
| 11 | CC-BY-NC-ND 2.1 | https://creativecommons.org/licenses/by-nc-nd/2.1/ |
| 12 | CC-BY-NC-ND 2.5 | https://creativecommons.org/licenses/by-nc-nd/2.5/ |
| 13 | CC-BY-NC-ND 3.0 | https://creativecommons.org/licenses/by-nc-nd/3.0/ |
| 14 | CC-BY-NC-ND 4.0 | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| 15 | CC-BY-NC-SA 2.0 | https://creativecommons.org/licenses/by-nc-sa/2.0/ |
| 16 | CC-BY-NC-SA 2.1 | https://creativecommons.org/licenses/by-nc-sa/2.1/ |
| 17 | CC-BY-NC-SA 2.5 | https://creativecommons.org/licenses/by-nc-sa/2.5/ |
| 18 | CC-BY-NC-SA 3.0 | https://creativecommons.org/licenses/by-nc-sa/3.0/ |
| 19 | CC-BY-NC-SA 4.0 | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| 20 | CC-BY-ND 2.0 | https://creativecommons.org/licenses/by-nd/2.0/ |
| 21 | CC-BY-ND 2.5 | https://creativecommons.org/licenses/by-nd/2.5/ |
| 22 | CC-BY-ND 3.0 | https://creativecommons.org/licenses/by-nd/3.0/ |
| 23 | CC-BY-ND 4.0 | https://creativecommons.org/licenses/by-nd/4.0/ |
| 24 | CC-BY-SA 2.0 | https://creativecommons.org/licenses/by-sa/2.0/ |
| 25 | CC-BY-SA 2.5 | https://creativecommons.org/licenses/by-sa/2.5/ |
| 26 | CC-BY-SA 3.0 | https://creativecommons.org/licenses/by-sa/3.0/ |
| 27 | CC-BY-SA 4.0 | https://creativecommons.org/licenses/by-sa/4.0/ |
| 28 | CC-NC-Sampling+ 1.0 | https://creativecommons.org/licenses/nc-sampling+/1.0/ |
| 29 | CC-Sampling+ 1.0 | https://creativecommons.org/licenses/sampling+/1.0/ |
| 30 | FMA Sound Recording Common Law | https://freemusicarchive.org/Sound_Recording_Common_Law |
| 31 | Free Art License | https://artlibre.org/licence/lal/en |
| 32 | Free Music Philosophy (FMP) | https://irdial.com/free_and_easy.htm |
## Total Duration by License
| License | Total Duration (Percentage) |
| ------- | --------------------------- |
| CC-BY-NC-SA 3.0 | 2768.3 hours (34.16%) |
| CC-BY-NC-ND 3.0 | 2296.4 hours (28.34%) |
| CC-BY-NC-ND 4.0 | 1018.4 hours (12.57%) |
| CC-BY-NC-SA 4.0 | 533.2 hours (6.58%) |
| CC-BY 4.0 | 377.0 hours (4.65%) |
| CC-BY-NC 3.0 | 288.9 hours (3.56%) |
| CC-BY-NC 4.0 | 232.6 hours (2.87%) |
| CC-BY 3.0 | 106.9 hours (1.32%) |
| CC-BY-SA 4.0 | 99.4 hours (1.23%) |
| CC-BY-SA 3.0 | 79.7 hours (0.98%) |
| CC-BY-NC-SA 2.0 | 65.1 hours (0.80%) |
| CC-BY-NC-ND 2.0 | 56.2 hours (0.69%) |
| CC-BY-ND 3.0 | 36.8 hours (0.45%) |
| CC-BY-ND 4.0 | 25.0 hours (0.31%) |
| CC-BY-NC-ND 2.5 | 24.2 hours (0.30%) |
| FMA Sound Recording Common Law | 19.9 hours (0.25%) |
| CC-BY-NC-SA 2.5 | 18.0 hours (0.22%) |
| CC-BY-NC 2.5 | 13.3 hours (0.16%) |
| CC0 1.0 | 10.5 hours (0.13%) |
| CC-BY 1.0 | 10.4 hours (0.13%) |
| Free Music Philosophy (FMP) | 4.4 hours (0.05%) |
| Free Art License | 2.7 hours (0.03%) |
| CC-BY 2.0 | 2.5 hours (0.03%) |
| CC-BY-NC 2.1 | 2.4 hours (0.03%) |
| CC-BY-NC-SA 2.1 | 2.3 hours (0.03%) |
| CC-BY-SA 2.0 | 1.9 hours (0.02%) |
| CC-BY-NC 2.0 | 1.6 hours (0.02%) |
| CC-BY-ND 2.5 | 1.6 hours (0.02%) |
| CC-NC-Sampling+ 1.0 | 1.4 hours (0.02%) |
| CC-BY-NC-ND 2.1 | 65.0 minutes (0.01%) |
| CC-Sampling+ 1.0 | 53.9 minutes (0.01%) |
| CC-BY-SA 2.5 | 31.8 minutes (0.01%) |
| CC-BY-ND 2.0 | 29.7 minutes (0.01%) |
| CC-BY 2.5 | 11.2 minutes (0.00%) |
# Citations
```
@inproceedings{fma_dataset,
title = {{FMA}: A Dataset for Music Analysis},
author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
year = {2017},
archiveprefix = {arXiv},
eprint = {1612.01840},
url = {https://arxiv.org/abs/1612.01840},
}
```
```
@inproceedings{fma_challenge,
title = {Learning to Recognize Musical Genre from Audio},
subtitle = {Challenge Overview},
author = {Defferrard, Micha\"el and Mohanty, Sharada P. and Carroll, Sean F. and Salath\'e, Marcel},
booktitle = {The 2018 Web Conference Companion},
year = {2018},
publisher = {ACM Press},
isbn = {9781450356404},
doi = {10.1145/3184558.3192310},
archiveprefix = {arXiv},
eprint = {1803.05337},
url = {https://arxiv.org/abs/1803.05337},
}
```