[Update] Update

custom_common_voice.py

@@ -18,13 +18,14 @@
 import datasets
 from datasets.tasks import AutomaticSpeechRecognition
 import pandas as pd
+import re
 
 
-_DATA_URL = "https://drive.google.com/uc?export=download&id=18ssh3gjpsMmjBfaIhcCwrfJMAvsdLGaI"
+_DATA_URL = "https://drive.google.com/uc?export=download&id=15WLhuiIl7q-zM_VFol8zw4tXMoyKTOJz"
 _PROMPTS_URLS = {
-    "train": "https://drive.google.com/uc?export=download&id=1fHl3UuM73AGdTmOuTSRRSDnDxPiNBZas",
-    "test": "https://drive.google.com/uc?export=download&id=1MoBJsfIvjfSnYXApiIqtnMV3z0u0o2UZ",
-    "val": "https://drive.google.com/uc?export=download&id=1V8M437ncD6ogE-e56OipMPuuFqLgEt5g",
+    "train": "https://drive.google.com/uc?export=download&id=1L3-sTsiSVUMbPM6nWWBJNsh09mnQzC8J",
+    "test": "https://drive.google.com/uc?export=download&id=1-9Ahfqkn_DD3bteH06F8EThUbjmcWI7k",
+    "val": "https://drive.google.com/uc?export=download&id=1HLehZezcHyIBWsL6Tt5YuVQqRGynsZ2s",
 }
 
 _DESCRIPTION = """\
@@ -81,11 +82,11 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
             name=lang_id,
             language=_LANGUAGES[lang_id]["Language"],
             sub_version=_LANGUAGES[lang_id]["Version"],
-            date=_LANGUAGES[lang_id]["Date"],
-            size=_LANGUAGES[lang_id]["Size"],
-            val_hrs=_LANGUAGES[lang_id]["Validated_Hr_Total"],
-            total_hrs=_LANGUAGES[lang_id]["Overall_Hr_Total"],
-            num_of_voice=_LANGUAGES[lang_id]["Number_Of_Voice"],
+            # date=_LANGUAGES[lang_id]["Date"],
+            # size=_LANGUAGES[lang_id]["Size"],
+            # val_hrs=_LANGUAGES[lang_id]["Validated_Hr_Total"],
+            # total_hrs=_LANGUAGES[lang_id]["Overall_Hr_Total"],
+            # num_of_voice=_LANGUAGES[lang_id]["Number_Of_Voice"],
         )
         for lang_id in _LANGUAGES.keys()
     ]
@@ -115,7 +116,6 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
         archive = dl_manager.download(_DATA_URL)
         path_to_data = "data_1"
         path_to_clips = path_to_data + "/" + "audio"
-        path_to_script = path_to_data + "/" + "script"
 
         return [
             datasets.SplitGenerator(
@@ -170,10 +170,19 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
 
         df = pd.read_csv(tsv_files, sep="\t", header=0)
         df = df.dropna()
+        chars_to_ignore_regex = r'[,?.!\-;:"“%\'�]'
 
         for file_path, script in zip(df["file_path"], df["script"]):
             # set full path for mp3 audio file
             audio_path = path_to_clips + "/" + file_path
+
+            # Preprocessing script
+            if ":" in script:
+                two_dot_index = script.index(":")
+                script = script[two_dot_index + 1:]
+            script = script.replace("\n", " ")
+            script = re.sub(chars_to_ignore_regex, '', script).lower()
+
             examples[audio_path] = {
                 "file_path": audio_path,
                 "script": script,
@@ -186,10 +195,10 @@ class CustomCommonVoice(datasets.GeneratorBasedBuilder):
                 if path in examples:
                     audio = {"path": path, "bytes": f.read()}
                     yield path, {**examples[path], "audio": audio}
-            elif "custom_common_voice.tsv" in path:
-                continue
-            elif ".txt" in path:
-                continue
+            # elif "custom_common_voice.tsv" in path:
+            #     continue
+            # elif ".txt" in path:
+            #     continue
             elif inside_clips_dir:
                 break