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ParsiGoo.py

@@ -1,6 +1,14 @@
 import os
 import datasets
 logger = datasets.logging.get_logger(__name__)
+
+
+_speaker_names = [
+  'ariana_Male2', 
+  'moujeze_Female1', 
+  'ariana_Male1', 
+  'ariana_Female1'
+  ]
 class ParsiGoo(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
 
@@ -22,32 +30,39 @@ class ParsiGoo(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         logger.info("| >  ")
+        print("4544444")
         logger.info(dl_manager.manual_dir)
         # logger.info(os.path.join(os.path.dirname(os.path.abspath(__file__)), "datasets"))
         data_dir = dl_manager.download("datasets")
-        splits = []
-        for speaker_name in os.listdir(data_dir):
+        logger.info(data_dir)
+        meta_files = []
+        speaker_names = _speaker_names
+        root_path = ""
+        for speaker_name in speaker_names:
             if not os.path.isdir(os.path.join(data_dir, speaker_name)):
                 continue
             root_path = os.path.join(data_dir, speaker_name)
-            meta_file = os.path.join(root_path, "metadata.csv")
-            splits.append(
-                datasets.SplitGenerator(
-                    name=speaker_name,
+            meta_files.append(os.path.join(root_path, "metadata.csv"))
+ 
+        return [datasets.SplitGenerator(
+                    name="train",
                     gen_kwargs={
-                        "txt_file": meta_file,
-                        "speaker_name": speaker_name,
+                        "txt_files": meta_files,
+                        "speaker_names": speaker_names,
                         "root_path": root_path
                     }
-                )
-            )
-        return splits
+                )]
 
-    def _generate_examples(self, txt_file, speaker_name, root_path):
-        with open(txt_file, "r", encoding="utf-8") as ttf:
+    def _generate_examples(self, txt_files, speaker_names, root_path):
+        id=-1
+        for ind,txt_file in enumerate(txt_files):
+          with open(txt_file, "r", encoding="utf-8") as ttf:
             for i, line in enumerate(ttf):
                 cols = line.split("|")
                 wav_file = cols[1].strip()
                 text = cols[0].strip()
                 wav_file = os.path.join(root_path, "wavs", wav_file)
-                yield i, {"text": text, "audio_file": wav_file, "speaker_name": speaker_name, "root_path": root_path}
+                id+=1
+                yield id, {"text": text, "audio_file": wav_file, "speaker_name": speaker_names[ind], "root_path": root_path}
+
+