---
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},
}
```