---
language:
- ha
license: cc-by-4.0
pretty_name: Hausa Voice Dataset
size_categories:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
- audio-classification
task_ids:
- keyword-spotting
- audio-language-identification
---

# Dataset Card for "hausa_voice_dataset"

## Dataset Overview

**Dataset Name**: Hausa Voice Dataset

**Description**: This dataset contains Hausa language audio samples from Common Voice. The dataset includes audio files and their corresponding transcriptions, designed for text-to-speech (TTS) and automatic speech recognition (ASR) research and applications.

## Dataset Structure

**Configs**:
* `default`

**Data Files**:
* Split: `train`

**Dataset Info**:
* Features:
  * `audio`: Audio file (mono, 22.05kHz)
  * `transcription`: Corresponding text transcription in Hausa
* Splits:
  * `train`

## Usage

To load this dataset in your Python environment using Hugging Face's `datasets` library, use the following code:

```python
from datasets import load_dataset

dataset = load_dataset("mide7x/hausa_voice_dataset")
```

## Dataset Creation

This dataset was derived from Mozilla Common Voice Hausa collections. The audio files were converted to mono WAV format with a sampling rate of 22.05kHz.

## Considerations for Using the Data

### Social Impact of Dataset

This dataset helps promote technological inclusion for the Hausa language, which is spoken by over 80 million people primarily in Northern Nigeria, Niger, and other parts of West Africa. Resources like this dataset can help bridge the technological divide for Hausa speakers.

### Discussion of Biases

The dataset may reflect biases present in the Common Voice collection process, including speaker demographics and sentence selection biases.

### Citation Information

If you use this dataset in your research, please cite:
```
@misc{hausa_voice_dataset,
  author = {Dataset Creator},
  title = {Hausa Voice Dataset},
  year = {2024},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/mide7x/hausa_voice_dataset}}
}
```