Add speaker_id information in README.md

README.md

@@ -84,8 +84,8 @@ We classify dialogues from actors that exhibit emotion accuracy above 40% as gol
     'from': 'gpt', 
     'audio': 
         {
-            # in streaming mode 'path' will be 't_152ee99a-fec0-4d37-87a8-b1510a9dc7e5/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5_0i.wav'
-            'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/cache_id/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5_0i.wav, 
+            # in streaming mode 'path' will be 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
+            'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/cache_id/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav, 
             'array': array([0.0005188 , 0.00085449, 0.00012207, ..., 0.00125122, 0.00076294, 0.00036621], dtype=float32), 
             'sampling_rate': 16000
         },
@@ -107,6 +107,8 @@ segment inside its archive (as files are not downloaded and extracted locally).
 * emotion (string) - the emotion of the utterance.
 * original_full_path (string) - the relative path to the original full audio sample in the original data directory.
 
+* speaker_id can be obtained from the last letter of 'file_name' excluding '.wav' (e.g. 'k' in the above example)
+
 Emotion is assigned from the following labels: 
 "Neutral", "Happy", "Fear", "Angry", "Disgusting", "Surprising", "Sad"