Update README.md

README.md

@@ -19,3 +19,27 @@ In our original work, we directly transcribed the speech with Whisper Medium. Ho
 
 ## Intended Use
 This set of data can be used for Accented ASR research!
+
+## Code Example
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("sylviali/EDEN_ASR_Data", split="train")
+
+print(dataset)
+
+# Download the audio to a local file
+import urllib
+urllib.request.urlretrieve(dataset[0]["audio_url"], "audio.wav")
+
+# Extract the ASR transcript
+print(dataset[0]["corrected_whisper_transcript"])
+
+# Extract the emotion label
+print(dataset[0]["emotion_label"])
+
+# Check negative emotion audio clips
+negative_emotion_clips = dataset.filter(lambda example: example["emotion_label"] == "Negative")
+print(len(negative_emotion_clips))
+print(negative_emotion_clips[0])
+```