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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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|
- name: label |
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|
dtype: string |
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|
splits: |
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|
- name: train |
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|
num_bytes: 2972583582.24 |
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|
num_examples: 9418 |
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|
- name: validation |
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|
num_bytes: 335149610.534 |
|
|
num_examples: 1059 |
|
|
- name: test |
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|
num_bytes: 1114463859.732 |
|
|
num_examples: 3517 |
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|
download_size: 4328763714 |
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|
dataset_size: 4422197052.506 |
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|
configs: |
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|
- config_name: default |
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|
data_files: |
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|
- split: train |
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|
path: data/train-* |
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|
- split: validation |
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path: data/validation-* |
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|
- split: test |
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|
path: data/test-* |
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license: cc-by-4.0 |
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task_categories: |
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- audio-classification |
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language: |
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|
- en |
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|
--- |
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|
# Audioset-Nonspeech |
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**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. |
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|
|
|
--- |
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## Description |
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For each example, the following is provided: |
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1. **Link to the audio data** (`audio`) |
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2. **List of class labels, separated by semicolons** (`label`) |
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|
|
|
|
--- |
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## Usage example |
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```python |
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from datasets import load_dataset |
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|
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ds = load_dataset("bond005/audioset-nonspeech") |
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``` |
