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Willy030125/librivox_filtered_id

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":… See the full description on the dataset page: https://huggingface.co/datasets/Willy030125/librivox_filtered_id.

sourceHugging Faceccupdated 1y agoView on Hugging Face
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Librivox Filtered ID

Filtered Librivox Indonesian dataset<br> <br> Audio has been preprocessed using FFmpeg as: wav -ar 16000 -ac 1 (mono 16kHz samplerate) for Whisper-ready finetuning<br> Selected audio datasets on: ['id']['universal-declaration-of-human-rights']<br> numrows: 136<br> Original dataset: <a href="https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia">indonesian-nlp/librivox-indonesia</a><br>

Format

Each example is a dictionary with the following fields:

json
{
  "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:

bash
pip install datasets==2.18.0

Use HuggingFace datasets to load:

python
from datasets import load_dataset, Audio

try:
    dataset = load_dataset("Willy030125/librivox_filtered_id", trust_remote_code=True, encoding="utf-8", errors="ignore")
except:
    dataset = load_dataset("Willy030125/librivox_filtered_id", trust_remote_code=True)