uniform dataset ids

ami-ihm.py

@@ -294,7 +294,7 @@ class AMI(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "meeting_id": datasets.Value("string"),
-                "audio_id": datasets.Value("string"),
+                "id": datasets.Value("string"),
                 "text": datasets.Value("string"),
                 "audio": datasets.Audio(sampling_rate=16_000),
                 "begin_time": datasets.Value("float32"),
@@ -400,7 +400,7 @@ class AMI(datasets.GeneratorBasedBuilder):
                 audio_filename = "_".join([split, _id.lower()]) + ".wav"
 
                 transcriptions[audio_filename] = {
-                    "audio_id": _id,
+                    "id": _id,
                     "meeting_id": meeting_id,
                     "text": text,
                     "begin_time": int(begin_time) / 100,
@@ -417,7 +417,7 @@ class AMI(datasets.GeneratorBasedBuilder):
 
         idx = 0
 
-        features = ["meeting_id", "audio_id", "text", "begin_time", "end_time", "microphone_id", "speaker_id"]
+        features = ["meeting_id", "id", "text", "begin_time", "end_time", "microphone_id", "speaker_id"]
         for archive, local_archive_path in zip(audio_archives, local_extracted_archives_paths):
             for audio_path, audio_file in archive:
                 # adapt for sdm