# Gaepago (Gae8J/gaepago_s)
## How to use
### 1. Install dependencies
```bash
pip install datasets==2.10.1
pip install soundfile==0.12.1
pip install librosa==0.10.0.post2
```
### 2. Load the dataset
```python
from datasets import load_dataset

dataset = load_dataset("Gae8J/gaepago_s")
```
Outputs
```
DatasetDict({
    train: Dataset({
        features: ['file', 'audio', 'label', 'is_unknown', 'youtube_id'],
        num_rows: 12
    })
    validation: Dataset({
        features: ['file', 'audio', 'label', 'is_unknown', 'youtube_id'],
        num_rows: 12
    })
    test: Dataset({
        features: ['file', 'audio', 'label', 'is_unknown', 'youtube_id'],
        num_rows: 12
    })
})
```
### 3. Check a sample
```python
dataset['train'][0]
```
Outputs
```
{'file': 'bark/1_Q80fDGLRM.wav', 'audio': {'path': 'bark/1_Q80fDGLRM.wav', 'array': array([-9.15838356e-08,  6.80501699e-08,  1.97052145e-07, ...,
        0.00000000e+00,  0.00000000e+00,  0.00000000e+00]), 'sampling_rate': 16000}, 'label': 0, 'is_unknown': False, 'youtube_id': '1_Q80fDGLRM'}
```
task_categories:audio-classification size_categories:1K<n<10K license:other region:us
{"license": "other", "size_categories": ["1K<n<10K"], "task_categories": ["audio-classification"], "dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bark", "1": "bow-wow", "2": "growling", "3": "howl", "4": "whimper", "5": "yip"}}}}, {"name": "is_unknown", "dtype": "bool"}, {"name": "youtube_id", "dtype": "string"}, {"name": "youtube_url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8774740.0, "num_examples": 12}, {"name": "validation", "num_bytes": 8774740.0, "num_examples": 12}, {"name": "test", "num_bytes": 8774740.0, "num_examples": 12}], "download_size": 26037015, "dataset_size": 26324220.0}}
TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #license-other #region-us 

# Gaepago (Gae8J/gaepago_s)
## How to use
### 1. Install dependencies

### 2. Load the dataset

Outputs

### 3. Check a sample

Outputs

# Gaepago (Gae8J/gaepago_s) ## How to use ### 1. Install dependencies ### 2. Load the dataset

Outputs ### 3. Check a sample

Outputs
TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #license-other #region-us 
 # Gaepago (Gae8J/gaepago_s) ## How to use ### 1. Install dependencies ### 2. Load the dataset

Outputs ### 3. Check a sample

Outputs
passage: TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #license-other #region-us 
# Gaepago (Gae8J/gaepago_s)## How to use### 1. Install dependencies### 2. Load the dataset

Outputs### 3. Check a sample

Outputs