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@@ -59,7 +59,96 @@ This dataset has been primarily developed to facilitate the creation of text-to-
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  All recordings feature a single male voice with a sample rate of 48,000 Hz, ensuring high-quality audio suitable for detailed phonetic analysis and machine learning applications. This consistent audio quality across the dataset provides a reliable foundation for training and testing text-to-speech models. Furthermore, the dataset can be a valuable resource for future research and development efforts aimed at enhancing digital accessibility for the Kashmiri-speaking population.
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  ```bib
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- Shafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2
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  ```
 
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  All recordings feature a single male voice with a sample rate of 48,000 Hz, ensuring high-quality audio suitable for detailed phonetic analysis and machine learning applications. This consistent audio quality across the dataset provides a reliable foundation for training and testing text-to-speech models. Furthermore, the dataset can be a valuable resource for future research and development efforts aimed at enhancing digital accessibility for the Kashmiri-speaking population.
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+ # Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024
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+ ## Dataset Description
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+ This dataset contains Kashmiri text-to-speech (TTS) data, including paired text and audio files.
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+ ## Dataset Statistics
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+ - Total number of samples: 2984
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+ - Number of samples in train split: 2387
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+ - Number of samples in test split: 597
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+ ### Audio Statistics
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+ - Total audio duration: 15914.16 seconds (4.42 hours)
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+ - Average audio duration: 5.33 seconds
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+ - Minimum audio duration: 1.98 seconds
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+ - Maximum audio duration: 12.60 seconds
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+ ### Text Statistics
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+ - Total number of words: 31365
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+ - Average number of words per sample: 10.51
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+ - Minimum number of words in a sample: 5
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+ - Maximum number of words in a sample: 26
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+
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+ ## Dataset Structure
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+ The dataset contains the following fields:
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+ - `file_name`: Value(dtype='string', id=None)
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+ - `sentence`: Value(dtype='string', id=None)
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+ - `audio`: Audio(sampling_rate=16000, mono=True, decode=True, id=None)
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+ - `duration`: Value(dtype='float64', id=None)
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+ - `sample_rate`: Value(dtype='int64', id=None)
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+ - `__index_level_0__`: Value(dtype='int64', id=None)
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+ ## Usage Example
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+ Here's a simple example of how to load and use this dataset:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset('Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024')
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+ # Access the training split
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+ train_data = dataset['train']
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+ # Get the first sample
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+ first_sample = train_data[0]
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+ print(f"Text: {first_sample['text']}")
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+ print(f"Audio file: {first_sample['audio']}")
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+ ```
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+ ## License
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+ Please refer to the dataset card for license information.
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+ ## Citation
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+ If you use this dataset in your research, please cite it as follows:
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+ ```
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+ @dataset{KTTS Single Speaker Dataset,
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+ author = {Shafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2
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+ },
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+ title = {Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024},
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+ year = {2023},
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+ url = {https://huggingface.co/datasets/Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024}
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+ }
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+ ```
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  ```bib
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  ```