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README.md
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license: mit
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---
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license: mit
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---
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# Introduction
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This is a data subset extracted from the FMA music dataset, particularly the fma_small subset. There are 7 top level genres in this dataset, namely:
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- Hip-hop
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- Pop
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- Folk
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- Rock
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- International
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- Electronic
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- Instrumental
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There dataset is composed of 210 .mp3 tracks, each of 30 seconds.
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Metadata of the audio mp3 audio tracks could be found in `metadata.csv`.
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The full mfa dataset could be found [here](https://github.com/mdeff/fma)
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# Credits
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All credits go to the original creators for this dataset
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```
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@inproceedings{fma_dataset,
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title = {{FMA}: A Dataset for Music Analysis},
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author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
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booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
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year = {2017},
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archiveprefix = {arXiv},
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eprint = {1612.01840},
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url = {https://arxiv.org/abs/1612.01840},
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}
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```
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