Datasets:

codewithdark
/

urdu-tts

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

{
    '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

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.