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Librivox Filtered ID

Filtered Librivox Indonesian dataset

Audio has been preprocessed using FFmpeg as: wav -ar 16000 -ac 1 (mono 16kHz sample_rate) for Whisper-ready finetuning
Selected audio datasets on: ['id']['universal-declaration-of-human-rights']
num_rows: 136
Original dataset: indonesian-nlp/librivox-indonesia

Format

Each example is a dictionary with the following fields:

{
  "path": "audio/librivox_id_1.wav",
  "audio": {
    "path": "audio/librivox_id_1.wav",
    "array": [...],
    "sampling_rate": 16000
  },
  "sentence": "Some transcription"
}

Load dataset

Use HuggingFace datasets v2.18:

pip install datasets==2.18.0

Use HuggingFace datasets to load:

from datasets import load_dataset, Audio

dataset = load_dataset("Willy030125/librivox_filtered_id")
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Models trained or fine-tuned on Willy030125/librivox_filtered_id