---
license: cc-by-4.0
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: name
    dtype: string
configs:
- config_name: default
  data_files:
  - split: dev
    path: "data/dev-*.parquet"
  - split: eval
    path: "data/eval-*.parquet"
---

# FSD50K: An open dataset of human-labeled sound events

This is a mirror of the [FSD50K](https://zenodo.org/records/4060432) sound event dataset.
The original files were converted from WAV to Opus to reduce the size and accelerate streaming.

- **Sampling rate**: 48 kHz
- **Channels**: 1
- **Format**: Opus
- **Splits**:
  - **Dev**: 80 hours, 40966 clips.
  - **Eval**: 28 hours, 10231 clips.
- **License**: FSD50K is released under CC-BY. However, each clip has its own licence. Clip licenses include CC0, CC-BY, CC-BY-NC and CC Sampling+. Clip licenses are specified in `dev_clips_info_FSD50K.json` and `eval_clips_info_FSD50K.json`.
- **Source**: [https://zenodo.org/records/4060432](https://zenodo.org/records/4060432)
- **Paper**: [FSD50K: An Open Dataset of Human-Labeled Sound Events](https://arxiv.org/abs/2010.00475)

## Usage

```python
import io

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

for item in load_dataset(
    "philgzl/fsd50k",
    split="dev",
    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
@article{fonseca2022fsd50k,
  title = {{FSD50K}: {An} open dataset of human-labeled sound events},
  author = {Fonseca, Eduardo and Favory, Xavier and Pons, Jordi and Font, Frederic and Serra, Xavier},
  journal = {IEEE/ACM} Trans. Audio, Speech, Lang. Process.},
  volume = {30},
  pages = {829--852},
  year = {2022},
}
```