---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: id
    dtype: int64
  - name: labels
    dtype: string
  - name: sampling_rate
    dtype: int64
  splits:
  - name: train
    num_bytes: 15425963161.42
    num_examples: 40966
  - name: test
    num_bytes: 9086607147.884
    num_examples: 10231
  download_size: 31287462641
  dataset_size: 24512570309.304
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

HuggingFace data repo for Multi-label audio classification benchmark FSD50K. All other existing FSD50K repos on HuggingFace were either broken or didn't have the full 50k (40k train + 10k test) split

Original paper: https://arxiv.org/abs/2010.00475

Original Dataset (in .zip format): https://zenodo.org/records/4060432


```python
from datasets import load_dataset
fsd50k = load_dataset("Chand0320/fsd50k_hf", split = "train")
```

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)