---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
task_categories:
- automatic-speech-recognition
language:
- enm
tags:
- speech
- audio
- whisper
size_categories:
- 1K<n<10K
license: cc-by-nc-4.0
dataset_info:
  features:
  - name: input_features
    sequence:
      sequence: float32
  - name: labels
    sequence: int64
  splits:
  - name: train
    num_bytes: 2932208048
    num_examples: 3053
  - name: test
    num_bytes: 163274288
    num_examples: 170
  - name: validation
    num_bytes: 163274312
    num_examples: 170
  download_size: 461253903
  dataset_size: 3258756648
---

# 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

```python
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}
}
```