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Datasets:
m-aliabbas1
/
myeidi

Modalities:
Audio
Text
Formats:
parquet
Size:
100K - 1M
Libraries:
Datasets
Dask
Dataset card Data Studio Files
xet
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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

dataset_info: features: - name: text dtype: string - name: audio dtype: audio - name: duration dtype: float64 splits: - name: train num_bytes: 20860321574.68 num_examples: 104520 download_size: 20907025567 dataset_size: 20860321574.68 configs:

  • config_name: default data_files:
    • split: train path: data/train-*

dataset_description: > This is a high-quality Text-to-Speech (TTS) dataset for the Urdu language.
It contains 104,520 audio-text pairs, each sampled at 22,500 Hz mono, and is ideal for building neural TTS systems.

Highlights:

  • Clean and phonetically rich Urdu text
  • Studio-quality audio recordings
  • Mono channel at 22.5 kHz sampling rate
  • Includes duration metadata for each clip
  • Perfect for models like Tacotron, FastSpeech, Glow-TTS, and VITS

Format:

  • text: Urdu transcription
  • audio: High-quality mono audio (22.5 kHz)
  • duration: Length of the audio clip in seconds

License:

This dataset is released for research and educational purposes only.
Commercial use is strictly prohibited.

Please refer to the accompanying LICENSE file for full terms and conditions.

Citation:

If you use this dataset in your research, please cite the dataset creators appropriately.

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