README.md

---
license: other
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: name
    dtype: string
---

# Free Music Archive (FMA-medium)

This is a mirror of [FMA-medium](https://github.com/mdeff/fma).

- **Sampling rate**: 24 and 48 kHz
- **Channels**: 1 and 2
- **Format**: Opus
- **Duration**: 208 hours, 24908 tracks
- **License:**
  - Each track is distributed under the license chosen by the artist. See `tracks.csv` for details.
  - The metadata is distributed under CC BY 4.0.
- **Source:** [https://github.com/mdeff/fma](https://github.com/mdeff/fma)
- **Paper:** [FMA: A Dataset For Music Analysis](https://arxiv.org/abs/1612.01840)

## Usage

```python
import io

import soundfile as sf
from datasets import Features, Value, load_dataset

for item in load_dataset(
    "philgzl/fma-medium",
    streaming=True,
    features=Features({"audio": Value("binary"), "name": Value("string")}),
):
    print(item["name"])
    buffer = io.BytesIO(item["audio"])
    x, fs = sf.read(buffer)
    # do stuff...
```

## Citation

```bibtex
@inproceedings{defferrard2017fma,
  title = {{FMA}: {A} dataset for music analysis},
  author = {Defferrard, Micha{\"e}l and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
  booktitle = {Proc. ISMIR},
  pages = {316--323},
  year = {2017},
}
```