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Enenlhet Whisper Dataset

This dataset contains preprocessed audio features and tokenized text for training Whisper models on the Enenlhet language.

Dataset Summary

  • Train: 3,053 examples
  • Test: 170 examples
  • Validation: 170 examples
  • Total: 3,393 examples

Features

  • input_values: Preprocessed audio features (16kHz, normalized float32 arrays)
  • labels: Tokenized text as integer sequences

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("sjhuskey/enenlhet-whisper-dataset")

# Access splits
train_dataset = dataset['train']
test_dataset = dataset['test'] 
validation_dataset = dataset['validation']

Citation

If you use this dataset, please cite:

@dataset{enenlhet_whisper_dataset,
  title={Enenlhet Whisper Dataset},
  author={Samuel J. Huskey},
  year={2025},
  url={https://huggingface.co/datasets/sjhuskey/enenlhet-whisper-dataset}
}
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