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 | |
header: null | |
hf_path: '' | |
json_key: null | |
label_column_name: '' | |
level: null | |
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 | |
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'} | |
``` |