---
license: mit
---
# Introduction 

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:
- Hip-hop
- Pop
- Folk
- Rock
- International 
- Electronic
- Instrumental 

There dataset is composed of 210 .mp3 tracks, each of 30 seconds.

Metadata of the audio mp3 audio tracks could be found in `metadata.csv`.

The full mfa dataset could be found [here](https://github.com/mdeff/fma)

# Credits
All credits go to the original creators for this dataset
```
@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},
}
```