Update README.md

README.md

@@ -12,6 +12,30 @@ size_categories:
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 # speechocean762: A non-native English corpus for pronunciation scoring task
 
+## Example
+```python
+>>> from datasets import load_dataset
+
+>>> test_set = load_dataset("mispeech/speechocean762", split="test")
+
+>>> len(test_set)
+2500
+
+>>> next(iter(test_set))
+{'file': 'WAVE/SPEAKER0003/000030012.WAV',
+ 'audio': {'path': 'WAVE/SPEAKER0003/000030012.WAV',
+  'array': array([-0.00119019, -0.00500488, -0.00283813, ...,  0.00274658,
+          0.        ,  0.00125122]),
+  'sampling_rate': 16000},
+ 'text': 'MARK IS GOING TO SEE ELEPHANT',
+ 'speaker': '0003',
+ 'gender': 'm',
+ 'age': 6,
+ 'accuracy': 9,
+ 'fluency': 9,
+ 'prosodic': 9,
+ 'total': 9}
+```
 
 ## Introduction
 Pronunciation scoring is a crucial technology in computer-assisted language learning (CALL) systems. The pronunciation quality scores might be given at phoneme-level, word-level, and sentence-level for a typical pronunciation scoring task.