

Please note this dataset is private



### Using the data

You can stream the data data loader:

```python
myaudio = load_dataset(
    "evageon/myaudio",
    use_auth_token=os.environ["HG_USER_TOKEN"], # replace this with your access token
    streaming=True)
```

Then you can iterate over the dataset

```python
# replace test with validation or train depending on split you need
print(next(iter(myaudio["test"])))
```
outputs:
```
{'path': 'CD93A8FF-C3ED-4AD4-95A6-8363CCB93B90_spk-0001_seg-0024467:0025150.wav', 'audio': {'path': 'dataset/test/wav/CD93A8FF-C3ED-4AD4-95A6-8363CCB93B90_spk-0001_seg-0024467:0025150.wav', 'array': array([0.00662231, 0.00497437, 0.00518799, ..., 0.01150513, 0.00708008,
       0.00296021]), 'sampling_rate': 16000}, 'text': 'خطرا على دول الخليج لماذا اعتبرت أن إيران اليوم والخطر الذي تشكله إيران مختلف'}
```
region:us
{"pretty_name": "MGB2", "alt_glob": [], "alt_sep": "", "dataset_link": "https://huggingface.co/datasets/malmarz/test_mgb2/resolve/main/mgb2.test.tar.gz", "dataset_name": "mgb2_speech", "datasets_path": "datasets", "file_type": "wav", "hf_path": "", "label_column_name": "", "lines": false, "local_dir": false, "new_columns": "", "pal": false, "skiprows": 0, "squad": false, "xml_columns": "", "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 384372257.17, "num_examples": 3890}, {"name": "train", "num_bytes": 1488884786.673, "num_examples": 15559}], "download_size": 0, "dataset_size": 1873257043.8430002}}
TAGS
#region-us 



Please note this dataset is private



### Using the data

You can stream the data data loader:



Then you can iterate over the dataset


outputs:

### Using the data

You can stream the data data loader:



Then you can iterate over the dataset


outputs:
TAGS
#region-us 
 ### Using the data

You can stream the data data loader:



Then you can iterate over the dataset


outputs:
passage: TAGS
#region-us 
### Using the data

You can stream the data data loader:



Then you can iterate over the dataset


outputs: