---
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")
```