Datasets:
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README.md
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---
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: source
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dtype: string
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- name: audio
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dtype: audio
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---
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# Hausa TTS Dataset
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Multi-speaker Hausa text-to-speech dataset.
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## Usage
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```python
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from datasets import load_dataset, Audio
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# Load the dataset
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ds = load_dataset("parquet", data_files="hausa_tts_embedded.parquet", split="train")
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# Cast audio column to Audio type with 24kHz sampling rate
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ds = ds.cast_column("audio", Audio(sampling_rate=24000))
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# Use with Unsloth TTS
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from transformers import AutoProcessor
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processor = AutoProcessor.from_pretrained("unsloth/csm-1b")
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# Your training code here...
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```
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## Dataset Structure
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- **text**: The Hausa text to be spoken
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- **source**: Speaker identifier (multi-speaker)
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- **audio**: Audio recording (embedded as bytes)
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