improved loading time

snow-mountain.py

@@ -66,6 +66,15 @@ for lang in _LANGUAGES:
     }
     _FILES[lang] = file_dic
 
+NT_BOOKS = ['MAT', 'MRK', 'LUK', 'JHN', 'ACT', 'ROM', '1CO', '2CO', 'GAL', 'EPH', 'PHP', 'COL', '1TH', 
+            '2TH', '1TI', '2TI', 'TIT', 'PHM', 'HEB', 'JAS', '1PE', '2PE', '1JN', '2JN', '3JN', 'JUD', 'REV']
+OT_BOOKS = ['GEN', 'EXO', 'LEV', 'NUM', 'DEU', 'JOS', 'JDG', 'RUT', '1SA', '2SA', '1KI', '2KI', '1CH', 
+            '2CH', 'EZR', 'NEH', 'EST', 'JOB', 'PSA', 'PRO', 'ECC', 'SNG', 'ISA', 'JER', 'LAM', 'EZK', 
+            'DAN', 'HOS', 'JOL', 'AMO', 'OBA', 'JON', 'MIC', 'NAM', 'HAB', 'ZEP', 'HAG', 'ZEC', 'MAL']
+
+BOOKS_DIC = {'hindi':OT_BOOKS, 'bhadrawahi':NT_BOOKS, 'bilaspuri':NT_BOOKS, 'dogri':NT_BOOKS, 'gaddi':
+            NT_BOOKS, 'haryanvi':NT_BOOKS, 'kangri':NT_BOOKS, 'kulvi':NT_BOOKS, 'kulvi_outer_seraji':NT_BOOKS
+            , 'mandeali':NT_BOOKS, 'pahari_mahasui':NT_BOOKS}
 
 class Test(datasets.GeneratorBasedBuilder):
 
@@ -100,6 +109,18 @@ class Test(datasets.GeneratorBasedBuilder):
         
         downloaded_files = dl_manager.download(_FILES[self.config.name]) 
 
+        audio_data = {}
+        for book in BOOKS_DIC[self.config.name]:
+            archive_url = f"data/cleaned/{self.config.name}/{book}.tar.gz"
+            # archive_url = '/'.join(row["path"].split('/')[:-1])+'.tar.gz'
+            archive_path = dl_manager.download(archive_url)
+            for path, file in dl_manager.iter_archive(archive_path):
+                audio_ = path.split('/')[-1]
+                if audio_ not in audio_data:
+                    content = file.read()
+                    audio_data[audio_] = content
+
+
         data_size = ['500', '1000', '2500', 'short', 'full']
 
         splits = []
@@ -109,7 +130,7 @@ class Test(datasets.GeneratorBasedBuilder):
                     name=f"train_{size}",
                     gen_kwargs={
                         "filepath": downloaded_files[f"train_{size}"],
-                        "dl_manager": dl_manager,
+                        "audio_data": audio_data,
                     },
                 )
             )
@@ -118,7 +139,7 @@ class Test(datasets.GeneratorBasedBuilder):
                     name=f"val_{size}",
                     gen_kwargs={
                         "filepath": downloaded_files[f"val_{size}"],
-                        "dl_manager": dl_manager,
+                        "audio_data": audio_data,
                     },
                 )
             )
@@ -127,7 +148,7 @@ class Test(datasets.GeneratorBasedBuilder):
                 name="test_common",
                 gen_kwargs={
                     "filepath": downloaded_files["test_common"],
-                    "dl_manager": dl_manager,
+                    "audio_data": audio_data,
                 },
             )
         )
@@ -136,7 +157,7 @@ class Test(datasets.GeneratorBasedBuilder):
                 name="all_verses",
                 gen_kwargs={
                     "filepath": downloaded_files["all_verses"],
-                    "dl_manager": dl_manager,
+                    "audio_data": audio_data,
                 },
             )
         )
@@ -145,32 +166,25 @@ class Test(datasets.GeneratorBasedBuilder):
                 name="short_verses",
                 gen_kwargs={
                     "filepath": downloaded_files["short_verses"],
-                    "dl_manager": dl_manager,
+                    "audio_data": audio_data,
                 },
             )
         )
         return splits
 
         
-    def _generate_examples(self, filepath, dl_manager):
+    def _generate_examples(self, filepath, audio_data):
         key = 0
+        #print(list(audio_data.keys()))
         with open(filepath) as f:
             data_df = pd.read_csv(f,sep=',')
-            audio_data = {}
             for index,row in data_df.iterrows():
                 audio = row['path'].split('/')[-1]
-                if audio in audio_data:
+                content = ''
+                if audio in list(audio_data.keys()):
                     content = audio_data[audio]
                 else:    
-                    archive_url = '/'.join(row["path"].split('/')[:-1])+'.tar.gz'
-                    archive_path = dl_manager.download(archive_url)
-                    for path, file in dl_manager.iter_archive(archive_path):
-                        audio_ = path.split('/')[-1]
-                        if audio_ not in audio_data:
-                            content = file.read()
-                            audio_data[audio_] = content
-                    if audio in audio_data:
-                        content = audio_data[audio]
+                    print(f"*********** Couldn't find audio: {audio} **************")
                 yield key, {
                         "sentence": row["sentence"],
                         "path": row["path"],