| | --- |
| | tags: |
| | - audio |
| | task_categories: |
| | - audio-classification |
| | pretty_name: background |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | # Background Noise Dataset |
| |
|
| | This dataset contains **3** audio recordings of **2** different background noise classes. |
| |
|
| | ## Dataset Statistics |
| |
|
| | - **Total Audio Files**: 3 |
| | - **Total Classes**: 2 |
| | - **Format**: WAV (AudioFolder with metadata.jsonl) |
| |
|
| | ## Classes and Descriptions |
| |
|
| | The dataset covers the following background noises: |
| |
|
| | | Label | Description | |
| | | :--- | :--- | |
| | | `fan_noise` | Fan noise background | |
| | | `white_noise` | White noise background | |
| |
|
| | ## Structure |
| |
|
| | The dataset is organized in a folder structure where audio files are in subdirectories by label, and a `metadata.jsonl` file provides the file paths, labels, and descriptions. |
| |
|
| | ### Columns |
| |
|
| | - `audio`: The audio recording. |
| | - `label`: The category label of the background noise. |
| | - `description`: A text description of the background noise. |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("sdialog/background") |
| | ``` |
| |
|
