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---
license: mit
language:
- ur
tags:
- tts
- urdu
- speech-synthesis
- audio
task_categories:
- text-to-speech
size_categories:
- 10K<n<100K
---
# XCollab/urdu-tts
## Dataset Description
Combined Urdu Text-to-Speech dataset with **17,575 high-quality audio-text pairs**.
## Dataset Structure
```python
{
'index': int, # Sample index
'text': str, # Urdu text transcription
'audio': { # Audio data
'path': str, # Path to audio file
'sampling_rate': 16000
},
'source_dataset': str # Original dataset name
}
```
## Usage
```python
from datasets import load_dataset
import soundfile as sf
# Load dataset
dataset = load_dataset("XCollab/urdu-tts")
# Get a sample
sample = dataset['train'][0]
print("Text:", sample['text'])
print("Audio path:", sample['audio']['path'])
# Save audio file
sf.write("sample.wav", sample['audio']['array'], sample['audio']['sampling_rate'])
# Play in notebook
import IPython.display as ipd
ipd.Audio(sample['audio']['array'], rate=sample['audio']['sampling_rate'])
```
## Audio Specifications
- **Sampling Rate**: 16,000 Hz
- **Format**: Float32 arrays
- **Channels**: Mono
- **Quality**: Normalized and validated
## Statistics
- **Total Samples**: 17,575
- **Valid Samples**: 17,575
- **Processing Errors**: 0
## Source Datasets
This dataset combines samples from multiple Urdu TTS datasets for improved coverage and quality.
## License
Please refer to individual dataset licenses for usage terms.
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