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sentence_id
string
sentence
string
audio
dict
duration
float64
speaker
string
sampling_rate
int64
10000
"پاته دي نه وي چي د کورونا د بحران له امله د بالیووډ او ه(...TRUNCATED)
{"path":"audio_data/5k/male/10000.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,0.(...TRUNCATED)
1.032
male
24,000
10000
"پاته دي نه وي چي د کورونا د بحران له امله د بالیووډ او ه(...TRUNCATED)
{"path":"audio_data/5k/female/10000.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,(...TRUNCATED)
1.056
female
24,000
10001
"پاته دي نه وي، چي د کورونا وبا له امله بالیووډ سېنما تړ(...TRUNCATED)
{"path":"audio_data/5k/male/10001.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,0.(...TRUNCATED)
0.942
male
24,000
10001
"پاته دي نه وي، چي د کورونا وبا له امله بالیووډ سېنما تړ(...TRUNCATED)
{"path":"audio_data/5k/female/10001.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,(...TRUNCATED)
0.942
female
24,000
10002
"پاته دي نه وي، چي د نوموړی په مړینه د بالیووډ د نامتو اد(...TRUNCATED)
{"path":"audio_data/5k/male/10002.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,0.(...TRUNCATED)
1.107
male
24,000
10002
"پاته دي نه وي، چي د نوموړی په مړینه د بالیووډ د نامتو اد(...TRUNCATED)
{"path":"audio_data/5k/female/10002.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,(...TRUNCATED)
1.116
female
24,000
10003
"پاته دي نه وي، چي د هغه او د موسیقي مینه وال هغه د موسیق(...TRUNCATED)
{"path":"audio_data/5k/male/10003.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,0.(...TRUNCATED)
1.251
male
24,000
10003
"پاته دي نه وي، چي د هغه او د موسیقي مینه وال هغه د موسیق(...TRUNCATED)
{"path":"audio_data/5k/female/10003.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,(...TRUNCATED)
1.269
female
24,000
10004
"پاته دي نه وي، چي د ولايت مقام مرستيال د ځايي مسولينو پ(...TRUNCATED)
{"path":"audio_data/5k/male/10004.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,0.(...TRUNCATED)
1.053
male
24,000
10004
"پاته دي نه وي، چي د ولايت مقام مرستيال د ځايي مسولينو پ(...TRUNCATED)
{"path":"audio_data/5k/female/10004.wav","array":[-0.093780517578125,-0.4656982421875,0.0,0.0234375,(...TRUNCATED)
1.08
female
24,000
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Pashto Synthetic Speech Dataset Parquet (5k)

This dataset contains 10000 synthetic speech recordings in the Pashto language, with 5000 male voice recordings and 5000 female voice recordings, stored in Parquet format.

Dataset Information

  • Dataset Size: 5000 sentences
  • Total Recordings: 10000 audio files (5000 male + 5000 female)
  • Audio Format: WAV, 24kHz, 16-bit PCM, embedded directly in Parquet files
  • Dataset Format: Parquet with 500MB shards
  • Sampling Rate: 24kHz (24000 Hz)
  • Voices:
    • Male: ps-AF-GulNawazNeural
    • Female: ps-AF-LatifaNeural
  • Total Audio Duration:
    • Male: 4310.24 seconds
    • Female: 4396.27 seconds
  • Average Clip Duration:
    • Male: 0.86 seconds
    • Female: 0.88 seconds

Dataset Structure

pashto_speech_5k/
  ├── data/                     # Parquet data files with embedded audio
  │   ├── train-00000-of-....parquet
  │   ├── train-00001-of-....parquet
  │   ├── ...
  │   ├── _schema.json          # Parquet schema definition
  │   └── _index.json           # Parquet metadata
  ├── dataset_info.json         # Dataset metadata
  └── README.md                 # This file

Usage with HuggingFace Datasets

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("your-username/pashto_speech_5k")

# Access an example
example = dataset['train'][0]
print(example['sentence'])            # The transcript
print(example['audio'])           # Audio data
print(example['speaker'])         # Speaker gender
print(example['sampling_rate'])   # Audio sampling rate

Usage Applications

This dataset can be used for:

  • Training ASR (Automatic Speech Recognition) systems for Pashto
  • Voice activity detection
  • Speaker verification
  • Speech synthesis evaluation

License

This dataset is licensed under the MIT License.

Citation

If you use this dataset in your research, please cite:

@dataset{pashto_synthetic_speech_parquet_5k,
  title = {Pashto Synthetic Speech Dataset Parquet (5k)},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/datasets/ihanif/pashto_speech_5k}}
}

Acknowledgments

This dataset was created using Microsoft Edge TTS voices.

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