---
license: cc
language:
- id
pretty_name: LibriVox Filtered ID
size_categories:
- n<1K
task_categories:
- automatic-speech-recognition
---
# Librivox Filtered ID

Filtered Librivox Indonesian dataset<br>
<br>
Audio has been preprocessed using FFmpeg as: wav -ar 16000 -ac 1 (mono 16kHz sample_rate) for Whisper-ready finetuning<br>
Selected audio datasets on: ['id']['universal-declaration-of-human-rights']<br>
num_rows: 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)
```