Update README.md

First placeholder info

README.md

@@ -1,20 +1,49 @@
 ---
-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: 1841218720
-  dataset_size: 1873257043.8430002
+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 Card for "test"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+Please note this dataset is licensed for research only and should not be made public.
+
+Must remain private and only for individuals participating in the whisper sprint
+
+### 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'}
+```