wavpath issue fixed

tibetan_voice.py

@@ -97,9 +97,6 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
         downloaded_wav = dl_manager.download(_DataUrl)
         wavs= dl_manager.iter_archive(downloaded_wav)
         downloaded_wav = dl_manager.download_and_extract(_DataUrl)
-        
-        
-
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"],"wavs":wavs,'wavfilepath':downloaded_wav}),
             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"],"wavs":wavs,'wavfilepath':downloaded_wav}),
@@ -112,19 +109,25 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
       logger.info("generating examples from = %s", filepath)
       with open(filepath, encoding="utf-8") as f:
           reader = csv.reader(f, delimiter='\t')
+          
           for row in reader:
               if len(row) >= 2:
-                  path = row[0]
-                  sentence = row[1]
-                  example_map[path] = sentence
+                  path = row[1]
+                  sentence = row[2]
+                  if(str(path)!='path'):
+                    example_map[path] = sentence
+                  else :
+                    continue
+
+                  
 
       audio_map = {}
       for path, f in wavs:
           _, filename = os.path.split(path)
-          audio_map[filename] = {"path": wavfilepath+'/'+path, "bytes": f.read()}
+          audio_map[filename] = {"path":os.path.join( wavfilepath,path), "bytes": f.read()}
 
       for key, path in enumerate(example_map.keys()):
-          _, filename = os.path.split(path)
+          filename = path
           sentence = example_map.get(filename, "")
           audio = audio_map.get(filename, {})
           example = {
@@ -132,6 +135,7 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
               "sentence": sentence,
               "audio": audio
           }
+      
           yield key, example