Update app.py

app.py

@@ -68,7 +68,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
         with open(n_shards_path) as f:
             n_shards = json.load(f)
 
-        splits = ["train", "dev", "test"]
+        splits = ["dev", "test"]
 
         audio_urls = defaultdict(dict)
         for split in splits:
@@ -92,8 +92,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "audio_archives": {
-                        'hy': [dl_manager.iter_archive(archive) for archive in lang_archives]
-                        for lang_archives in audio_paths["train"].items()
+                        'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["train"]]
                     },
                     "local_extracted_archives_paths": local_extracted_audio_paths["train"],
                     "metadata_paths": meta_paths["train"],
@@ -102,9 +101,9 @@ class HySpeech(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "audio_archives": [dl_manager.iter_archive(archive) for archive in lang_archives]
-                        for lang_archives in audio_paths["dev"].items()
-                    ,
+                    "audio_archives": {
+                        'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["dev"]]
+                    },
                     "local_extracted_archives_paths": local_extracted_audio_paths["dev"],
                     "metadata_paths": meta_paths["dev"],
                 }
@@ -113,8 +112,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "audio_archives": {
-                        'hy': [dl_manager.iter_archive(archive) for archive in lang_archives]
-                        for lang_archives in audio_paths["test"].items()
+                        'hy': [dl_manager.iter_archive(archive) for archive in audio_paths["test"]]
                     },
                     "local_extracted_archives_paths": local_extracted_audio_paths["test"],
                     "metadata_paths": meta_paths["test"],
@@ -127,11 +125,13 @@ class HySpeech(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths):
         features = ["raw_text", "normalized_text", "speaker_id", "gender"]
 
-        meta_path = metadata_paths[lang]
+        meta_path = metadata_paths
         with open(meta_path) as f:
-            metadata = {x["id"]: x for x in csv.DictReader(f, delimiter="\t")}
+            metadata = {x["audio_path"].split(os.sep)[-1].split(".wav")[0]: x for x in csv.DictReader(f, delimiter="\t")}
+
+        print(metadata)
 
-        for audio_archive, local_extracted_archive_path in zip(audio_archives['hy'], local_extracted_archives_paths['hy']):
+        for audio_archive, local_extracted_archive_path in zip(audio_archives['hy'], local_extracted_archives_paths):
             for audio_filename, audio_file in audio_archive:
                 audio_id = audio_filename.split(os.sep)[-1].split(".wav")[0]
                 path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename