| --- |
| 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") |
| ``` |
|
|
