Datasets:
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---
dataset_info:
- config_name: large
features:
- name: audio
dtype: audio
- name: class
dtype: string
- name: class_id
dtype: int64
splits:
- name: train
num_bytes: 1866384595
num_examples: 37634
download_size: 1863057968
dataset_size: 1866384595
- config_name: small
features:
- name: audio
dtype: audio
- name: class
dtype: string
- name: class_id
dtype: int64
splits:
- name: train
num_bytes: 49598479
num_examples: 1001
download_size: 49517177
dataset_size: 49598479
configs:
- config_name: large
data_files:
- split: train
path: large/train-*
- config_name: small
data_files:
- split: train
path: small/train-*
task_categories:
- audio-classification
tags:
- audio
- text
size_categories:
- 10K<n<100K
---
The `urban-noise` dataset consists of audio samples representing urban noise environments. It is designed for tasks such as noise classification, audio tagging, or machine learning applications in sound analysis. The dataset includes two configurations, `large` and `small`, with varying sizes of data.
## Example Usage
```python
from datasets import load_dataset
# Load the large configuration
large_dataset = load_dataset("Sunbird/urban-noise", "large")
# Load the small configuration
small_dataset = load_dataset("Sunbird/urban-noise", "small")
``` |