mahwizzzz/Dia-1.6B-Urdu
Updated
• 22
Large-scale Urdu TTS dataset with 221,929 audio-text pairs totaling 208.5 hours of speech.
| Metric | Value |
|---|---|
| Total Samples | 221,929 |
| Total Duration | 208.5 hours |
| Mean Duration | 3.38 sec |
| Std Duration | 1.12 sec |
| Min Duration | 2.00 sec |
| Max Duration | 14.96 sec |
| Sample Rate | 16kHz |
| Format | WAV |
| Avg Confidence | 0.9767 |
| Percentile | Duration |
|---|---|
| 25% | 2.52 sec |
| 50% | 3.18 sec |
| 75% | 3.96 sec |
| Feature | Type | Description |
|---|---|---|
audio |
Audio | 16kHz WAV waveform |
text |
string | Urdu transcription |
from datasets import load_dataset
# Load dataset
ds = load_dataset("mahwizzzz/1DamnAudio")
# Access a sample
sample = ds["train"][0]
print(sample["text"])
# Play audio (in notebook)
from IPython.display import Audio
Audio(sample["audio"]["array"], rate=sample["audio"]["sampling_rate"])
Extracted from 127 books:
If you use this dataset, please cite:
@dataset{1DamnAudio,
author = {mahwizzz},
title = {1DamnAudio: Large-Scale Urdu Text-to-Speech Dataset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/mahwizzzz/1DamnAudio}
}
Created by mahwizzz
CC-BY-4.0 - Free to use with attribution.