Omarrran/kashmiri_tts_hf_dataset

Dataset Description

This dataset contains Kashmiri text-to-speech (TTS) data, including paired text and audio files.

Dataset Statistics

• Total number of samples: 33
• Number of samples in train split: 26
• Number of samples in test split: 7

Audio Statistics

• Total audio duration: 9766.49 seconds (2.71 hours)
• Average audio duration: 295.95 seconds
• Minimum audio duration: 84.60 seconds
• Maximum audio duration: 606.91 seconds

Text Statistics

• Total number of words: 25290
• Average number of words per sample: 766.36
• Minimum number of words in a sample: 95
• Maximum number of words in a sample: 2100

Dataset Structure

The dataset contains the following fields:

• file_name: Value(dtype='string', id=None)
• text: Value(dtype='string', id=None)
• audio: Audio(sampling_rate=16000, mono=True, decode=True, id=None)
• duration: Value(dtype='float64', id=None)
• sample_rate: Value(dtype='int64', id=None)
• __index_level_0__: Value(dtype='int64', id=None)

Usage Example

Here's a simple example of how to load and use this dataset:

from datasets import load_dataset

dataset = load_dataset('Omarrran/kashmiri_tts_hf_dataset')

# Access the training split
train_data = dataset['train']

# Get the first sample
first_sample = train_data[0]
print(f"Text: {first_sample['text']}")
print(f"Audio file: {first_sample['audio']}")

License

Please refer to the dataset card for license information.

Citation

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

@dataset{kashmiri_tts_dataset,
  author = {Haq Nawaz Malik},
  title = {Omarrran/kashmiri_tts_hf_dataset},
  year = {2023},
  url = {https://huggingface.co/datasets/Omarrran/kashmiri_tts_hf_dataset}
}