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README.md

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+---
+language:
+- ps
+license: mit
+pretty_name: Pashto Synthetic Speech Dataset Parquet (3k)
+size_categories:
+- 1K<n<10K
+tags:
+- audio
+- speech
+- pashto
+- tts
+- synthetic
+- parquet
+task_categories:
+- automatic-speech-recognition
+metrics:
+- wer
+paperswithcode:
+  eval_results: []
+  preferred_citation: |-
+    @dataset{pashto_synthetic_speech_parquet_3k,
+      title = {Pashto Synthetic Speech Dataset Parquet (3k)},
+      year = {2023}
+    }
+---
+
+# Pashto Synthetic Speech Dataset Parquet (3k)
+
+This dataset contains 6000 synthetic speech recordings in the Pashto language,
+with 3000 male voice recordings and 3000 female voice recordings, stored in Parquet format.
+
+## Dataset Information
+
+- **Dataset Size**: 3000 sentences
+- **Total Recordings**: 6000 audio files (3000 male + 3000 female)
+- **Audio Format**: WAV, 44.1kHz, 16-bit PCM, embedded directly in Parquet files
+- **Dataset Format**: Parquet with 500MB shards
+- **Sampling Rate**: 44.1kHz (44100 Hz)
+- **Voices**: 
+  - Male: ps-AF-GulNawazNeural
+  - Female: ps-AF-LatifaNeural
+- **Total Audio Duration**: 
+  - Male: 1596.27 seconds
+  - Female: 1635.43 seconds
+- **Average Clip Duration**:
+  - Male: 0.53 seconds
+  - Female: 0.55 seconds
+
+## Dataset Structure
+
+```
+pashto_speech_parquet_3k/
+  ├── data/                     # Parquet data files with embedded audio
+  │   ├── shard-00000-of-....parquet
+  │   ├── shard-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
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("your-username/pashto_speech_parquet_3k")
+
+# Access an example
+example = dataset['train'][0]
+print(example['text'])            # 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_3k,
+  title = {Pashto Synthetic Speech Dataset Parquet (3k)},
+  year = {2023},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/datasets/ihanif/pashto_speech_parquet_3k}}
+}
+```
+
+## Acknowledgments
+
+This dataset was created using Microsoft Edge TTS voices.