Datasets:

mahwizzzz
/

1DamnAudio

language:
  - ur
license: cc-by-4.0
task_categories:
  - text-to-speech
  - automatic-speech-recognition
tags:
  - urdu
  - tts
  - asr
  - speech
  - audiobook
  - pakistan
size_categories:
  - 100K<n<1M
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: text
      dtype: string

1DamnAudio

Large-scale Urdu TTS dataset with 221,929 audio-text pairs totaling 208.5 hours of speech.

Dataset Statistics

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

Duration Distribution

Percentile	Duration
25%	2.52 sec
50%	3.18 sec
75%	3.96 sec

Features

Feature	Type	Description
`audio`	Audio	16kHz WAV waveform
`text`	string	Urdu transcription

Usage

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"])

Citation

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}
}

Author

Created by mahwizzz

License

CC-BY-4.0 - Free to use with attribution.