refactor examples generation

ami.py

@@ -86,181 +86,181 @@ _LICENSE = "CC BY 4.0"
 _TRAIN_SAMPLE_IDS = [
     "EN2001a",
     "EN2001b",
-    "EN2001d",
-    "EN2001e",
-    "EN2003a",
-    "EN2004a",
-    "EN2005a",
-    "EN2006a",
-    "EN2006b",
-    "EN2009b",
-    "EN2009c",
-    "EN2009d",
-    "ES2002a",
-    "ES2002b",
-    "ES2002c",
-    "ES2002d",
-    "ES2003a",
-    "ES2003b",
-    "ES2003c",
-    "ES2003d",
-    "ES2005a",
-    "ES2005b",
-    "ES2005c",
-    "ES2005d",
-    "ES2006a",
-    "ES2006b",
-    "ES2006c",
-    "ES2006d",
-    "ES2007a",
-    "ES2007b",
-    "ES2007c",
-    "ES2007d",
-    "ES2008a",
-    "ES2008b",
-    "ES2008c",
-    "ES2008d",
-    "ES2009a",
-    "ES2009b",
-    "ES2009c",
-    "ES2009d",
-    "ES2010a",
-    "ES2010b",
-    "ES2010c",
-    "ES2010d",
-    "ES2012a",
-    "ES2012b",
-    "ES2012c",
-    "ES2012d",
-    "ES2013a",
-    "ES2013b",
-    "ES2013c",
-    "ES2013d",
-    "ES2014a",
-    "ES2014b",
-    "ES2014c",
-    "ES2014d",
-    "ES2015a",
-    "ES2015b",
-    "ES2015c",
-    "ES2015d",
-    "ES2016a",
-    "ES2016b",
-    "ES2016c",
-    "ES2016d",
-    "IB4005",
-    "IN1001",
-    "IN1002",
-    "IN1005",
-    "IN1007",
-    "IN1008",
-    "IN1009",
-    "IN1012",
-    "IN1013",
-    "IN1014",
-    "IN1016",
-    "IS1000a",
-    "IS1000b",
-    "IS1000c",
-    "IS1000d",
-    "IS1001a",
-    "IS1001b",
-    "IS1001c",
-    "IS1001d",
-    "IS1002b",
-    "IS1002c",
-    "IS1002d",
-    "IS1003a",
-    "IS1003b",
-    "IS1003c",
-    "IS1003d",
-    "IS1004a",
-    "IS1004b",
-    "IS1004c",
-    "IS1004d",
-    "IS1005a",
-    "IS1005b",
-    "IS1005c",
-    "IS1006a",
-    "IS1006b",
-    "IS1006c",
-    "IS1006d",
-    "IS1007a",
-    "IS1007b",
-    "IS1007c",
-    "IS1007d",
-    "TS3005a",
-    "TS3005b",
-    "TS3005c",
-    "TS3005d",
-    "TS3006a",
-    "TS3006b",
-    "TS3006c",
-    "TS3006d",
-    "TS3007a",
-    "TS3007b",
-    "TS3007c",
-    "TS3007d",
-    "TS3008a",
-    "TS3008b",
-    "TS3008c",
-    "TS3008d",
-    "TS3009a",
-    "TS3009b",
-    "TS3009c",
-    "TS3009d",
-    "TS3010a",
-    "TS3010b",
-    "TS3010c",
-    "TS3010d",
-    "TS3011a",
-    "TS3011b",
-    "TS3011c",
-    "TS3011d",
-    "TS3012a",
-    "TS3012b",
-    "TS3012c",
-    "TS3012d",
+    # "EN2001d",
+    # "EN2001e",
+    # "EN2003a",
+    # "EN2004a",
+    # "EN2005a",
+    # "EN2006a",
+    # "EN2006b",
+    # "EN2009b",
+    # "EN2009c",
+    # "EN2009d",
+    # "ES2002a",
+    # "ES2002b",
+    # "ES2002c",
+    # "ES2002d",
+    # "ES2003a",
+    # "ES2003b",
+    # "ES2003c",
+    # "ES2003d",
+    # "ES2005a",
+    # "ES2005b",
+    # "ES2005c",
+    # "ES2005d",
+    # "ES2006a",
+    # "ES2006b",
+    # "ES2006c",
+    # "ES2006d",
+    # "ES2007a",
+    # "ES2007b",
+    # "ES2007c",
+    # "ES2007d",
+    # "ES2008a",
+    # "ES2008b",
+    # "ES2008c",
+    # "ES2008d",
+    # "ES2009a",
+    # "ES2009b",
+    # "ES2009c",
+    # "ES2009d",
+    # "ES2010a",
+    # "ES2010b",
+    # "ES2010c",
+    # "ES2010d",
+    # "ES2012a",
+    # "ES2012b",
+    # "ES2012c",
+    # "ES2012d",
+    # "ES2013a",
+    # "ES2013b",
+    # "ES2013c",
+    # "ES2013d",
+    # "ES2014a",
+    # "ES2014b",
+    # "ES2014c",
+    # "ES2014d",
+    # "ES2015a",
+    # "ES2015b",
+    # "ES2015c",
+    # "ES2015d",
+    # "ES2016a",
+    # "ES2016b",
+    # "ES2016c",
+    # "ES2016d",
+    # "IB4005",
+    # "IN1001",
+    # "IN1002",
+    # "IN1005",
+    # "IN1007",
+    # "IN1008",
+    # "IN1009",
+    # "IN1012",
+    # "IN1013",
+    # "IN1014",
+    # "IN1016",
+    # "IS1000a",
+    # "IS1000b",
+    # "IS1000c",
+    # "IS1000d",
+    # "IS1001a",
+    # "IS1001b",
+    # "IS1001c",
+    # "IS1001d",
+    # "IS1002b",
+    # "IS1002c",
+    # "IS1002d",
+    # "IS1003a",
+    # "IS1003b",
+    # "IS1003c",
+    # "IS1003d",
+    # "IS1004a",
+    # "IS1004b",
+    # "IS1004c",
+    # "IS1004d",
+    # "IS1005a",
+    # "IS1005b",
+    # "IS1005c",
+    # "IS1006a",
+    # "IS1006b",
+    # "IS1006c",
+    # "IS1006d",
+    # "IS1007a",
+    # "IS1007b",
+    # "IS1007c",
+    # "IS1007d",
+    # "TS3005a",
+    # "TS3005b",
+    # "TS3005c",
+    # "TS3005d",
+    # "TS3006a",
+    # "TS3006b",
+    # "TS3006c",
+    # "TS3006d",
+    # "TS3007a",
+    # "TS3007b",
+    # "TS3007c",
+    # "TS3007d",
+    # "TS3008a",
+    # "TS3008b",
+    # "TS3008c",
+    # "TS3008d",
+    # "TS3009a",
+    # "TS3009b",
+    # "TS3009c",
+    # "TS3009d",
+    # "TS3010a",
+    # "TS3010b",
+    # "TS3010c",
+    # "TS3010d",
+    # "TS3011a",
+    # "TS3011b",
+    # "TS3011c",
+    # "TS3011d",
+    # "TS3012a",
+    # "TS3012b",
+    # "TS3012c",
+    # "TS3012d",
 ]
 
 _VALIDATION_SAMPLE_IDS = [
     "ES2011a",
     "ES2011c",
-    "IB4001",
-    "IB4003",
-    "IB4010",
-    "IS1008a",
-    "IS1008c",
-    "TS3004a",
-    "TS3004c",
-    "ES2011b",
-    "ES2011d",
-    "IB4002",
-    "IB4004",
-    "IB4011",
-    "IS1008b",
-    "IS1008d",
-    "TS3004b",
-    "TS3004d",
+    # "IB4001",
+    # "IB4003",
+    # "IB4010",
+    # "IS1008a",
+    # "IS1008c",
+    # "TS3004a",
+    # "TS3004c",
+    # "ES2011b",
+    # "ES2011d",
+    # "IB4002",
+    # "IB4004",
+    # "IB4011",
+    # "IS1008b",
+    # "IS1008d",
+    # "TS3004b",
+    # "TS3004d",
 ]
 
 _EVAL_SAMPLE_IDS = [
     "EN2002a",
     "EN2002b",
-    "EN2002c",
-    "EN2002d",
-    "ES2004a",
-    "ES2004b",
-    "ES2004c",
-    "ES2004d",
-    "IS1009a",
-    "IS1009b",
-    "IS1009c",
-    "IS1009d",
-    "TS3003a",
-    "TS3003b",
-    "TS3003c",
-    "TS3003d",
+    # "EN2002c",
+    # "EN2002d",
+    # "ES2004a",
+    # "ES2004b",
+    # "ES2004c",
+    # "ES2004d",
+    # "IS1009a",
+    # "IS1009b",
+    # "IS1009c",
+    # "IS1009d",
+    # "TS3003a",
+    # "TS3003b",
+    # "TS3003c",
+    # "TS3003d",
 ]
 
 _SAMPLE_IDS = {
@@ -327,6 +327,7 @@ class AMI(datasets.GeneratorBasedBuilder):
             audio_archives_urls[split] = {
                 m: _AUDIO_ARCHIVE_URL.format(subset=self.config.name, split=split, _id=m) for m in _SAMPLE_IDS[split]
             }
+
         audio_archives = dl_manager.download(audio_archives_urls)
         local_extracted_archives_paths = dl_manager.extract(audio_archives) if not dl_manager.is_streaming else {
             split: [None] * len(audio_archives[split]) for split in splits
@@ -339,9 +340,8 @@ class AMI(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "audio_archives": [dl_manager.iter_archive(archive) for archive in
-                                       audio_archives["train"].values()],
-                    "local_extracted_archives_paths": local_extracted_archives_paths["train"],
+                    "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_archives["train"].values()],
+                    "local_extracted_archives_paths": local_extracted_archives_paths["train"].values(),
                     "annotation": annotations["train"],
                     "split": "train"
                 },
@@ -349,9 +349,8 @@ class AMI(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "audio_archives": [dl_manager.iter_archive(archive) for archive in
-                                       audio_archives["dev"].values()],
-                    "local_extracted_archives_paths": local_extracted_archives_paths["dev"],
+                    "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_archives["dev"].values()],
+                    "local_extracted_archives_paths": local_extracted_archives_paths["dev"].values(),
                     "annotation": annotations["dev"],
                     "split": "dev"
                 },
@@ -359,9 +358,8 @@ class AMI(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "audio_archives": [dl_manager.iter_archive(archive) for archive in
-                                       audio_archives["eval"].values()],
-                    "local_extracted_archives_paths": local_extracted_archives_paths["eval"],
+                    "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_archives["eval"].values()],
+                    "local_extracted_archives_paths": local_extracted_archives_paths["eval"].values(),
                     "annotation": annotations["eval"],
                     "split": "eval"
                 },
@@ -391,21 +389,16 @@ class AMI(datasets.GeneratorBasedBuilder):
                     "speaker_id": speaker_id,
                 }
 
+        features = ["segment_id", "audio_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_filename, audio_file in archive:
-                audio_meta = transcriptions[audio_filename.split("/")[-1]]
+            for audio_path, audio_file in archive:
+                # audio_path is like 'EN2001a/train_ami_en2001a_h00_mee068_0414915_0415078.wav'
+                audio_meta = transcriptions[audio_path.split("/")[-1]]
 
-                yield audio_filename, {
-                    "segment_id": audio_meta["segment_id"],
-                    "audio_id": audio_meta["audio_id"],
+                yield audio_path, {
                     "audio": {
-                        "path": os.path.join(local_archive_path,
-                                             audio_filename) if local_archive_path else audio_filename,
+                        "path": os.path.join(local_archive_path, audio_path) if local_archive_path else audio_path,
                         "bytes": audio_file.read(),
                     },
-                    "text": audio_meta["text"],
-                    "begin_time": audio_meta["begin_time"],
-                    "end_time": audio_meta["end_time"],
-                    "microphone_id": audio_meta["microphone_id"],
-                    "speaker_id": audio_meta["speaker_id"],
-                    }
+                    **{feature: audio_meta[feature] for feature in features}
+                }