---
language:
- ha
license: cc-by-4.0
task_categories:
- text-to-speech
tags:
- audio
- hausa
- tts
- speech-synthesis
- multi-speaker
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: source
    dtype: string
  - name: audio
    dtype: audio
configs:
- config_name: default
  data_files:
  - split: train
    path: "hausa_tts_embedded.parquet"
viewer: true
---

# Hausa TTS Dataset

Multi-speaker Hausa text-to-speech dataset.

## Usage

```python
from datasets import load_dataset, Audio

# Load the dataset
ds = load_dataset("parquet", data_files="hausa_tts_embedded.parquet", split="train")

# Cast audio column to Audio type with 24kHz sampling rate
ds = ds.cast_column("audio", Audio(sampling_rate=24000))

# Use with Unsloth TTS
from transformers import AutoProcessor
processor = AutoProcessor.from_pretrained("unsloth/csm-1b")

# Your training code here...
```

## Dataset Structure

- **text**: The Hausa text to be spoken
- **source**: Speaker identifier (multi-speaker)
- **audio**: Audio recording (embedded as bytes)