---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: label
    dtype: string
  splits:
  - name: train
    num_bytes: 2972583582.24
    num_examples: 9418
  - name: validation
    num_bytes: 335149610.534
    num_examples: 1059
  - name: test
    num_bytes: 1114463859.732
    num_examples: 3517
  download_size: 4328763714
  dataset_size: 4422197052.506
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- audio-classification
language:
- en
---

# Audioset-Nonspeech

**Audioset-Nonspeech** is a processed version of the well-known [agkphysics/AudioSet](https://huggingface.co/datasets/agkphysics/AudioSet) dataset. The processing was performed to remove all audio recordings that may contain clearly distinguishable human speech, leaving only non-speech audio recordings. The resulting Audioset-Nonspeech dataset can be used not only for audio event classification but also for augmentation (mixing with a specified signal-to-noise ratio) of speech recordings when training speech recognition models.

---

## Description

For each example, the following is provided:  
1. **Link to the audio data** (`audio`)
2. **List of class labels, separated by semicolons** (`label`)

---

## Usage example

```python
from datasets import load_dataset

ds = load_dataset("bond005/audioset-nonspeech")
```