add audio_id field

README.md

@@ -160,15 +160,25 @@ English (Accented)
 
 ### Data Instances
 
-A typical data point comprises the path to the audio file, called `path` and its transcription, called `sentence`. Some additional information about the speaker and the passage which contains the transcription is provided.
+A typical data point comprises the path to the audio file, called `path` and its transcription, called `transcript`. Some additional information about the speaker is provided.
 
 ```
-{'user_id': 'ABCDXYZ01',
- 'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav',
- 'audio': {'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav',
-		   'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32),
-		   'sampling_rate': 16000},
- 'transcirpt': 'The patient took the correct medication'}
+{
+    'speaker_id': 'b545a4ca235a7b72688a1c0b3eb6bde6', 
+    'path': 'aad9bd69-7ca0-4db1-b650-1eeea17a0153/5dcb6ee086e392376cd3b7131a250397.wav', 
+    'audio_id': 'aad9bd69-7ca0-4db1-b650-1eeea17a0153/5dcb6ee086e392376cd3b7131a250397',
+    'audio': {
+        'path': 'aad9bd69-7ca0-4db1-b650-1eeea17a0153/5dcb6ee086e392376cd3b7131a250397.wav', 
+        'array': array([0.00018311, 0.00061035, 0.00012207, ..., 0.00192261, 0.00195312, 0.00216675]), 
+        'sampling_rate': 44100}, 
+    'transcript': 'His mother is in her 50 s and has hypertension .', 
+    'age_group': '26-40', 
+    'gender': 'Male', 
+    'accent': 'yoruba', 
+    'domain': 'clinical', 
+    'country': 'US', 
+    'duration': 3.241995464852608
+}
 ```
 
 

afrispeech-200.py

@@ -112,6 +112,7 @@ class AfriSpeech(datasets.GeneratorBasedBuilder):
             {
                 "speaker_id": datasets.Value("string"),
                 "path": datasets.Value("string"),
+                "audio_id": datasets.Value("string"),
                 "audio": datasets.features.Audio(sampling_rate=44_100),
                 "transcript": datasets.Value("string"),
                 "age_group": datasets.Value("string"),
@@ -192,7 +193,6 @@ class AfriSpeech(datasets.GeneratorBasedBuilder):
 
         data_fields = [key for key in self._info().features.keys() if key not in ["audio", "path"]]
         metadata = {}
-        print("config:", self.config.name)
         with open(meta_path, "r", encoding="utf-8") as f:
             reader = csv.DictReader(f)
             for row in tqdm(reader, desc="Reading metadata..."):
@@ -212,6 +212,7 @@ class AfriSpeech(datasets.GeneratorBasedBuilder):
                     # set the audio feature and the path to the extracted file
                     path = os.path.join(local_extracted_archive_paths[i], filename) if local_extracted_archive_paths else filename
                     result["audio"] = {"path": path, "bytes": file.read()}
+                    result["audio_id"] = filename.replace(".wav", "")
                     # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
                     result["path"] = path if local_extracted_archive_paths else filename