generating data issue fixed

tibetan_voice.py

@@ -105,35 +105,34 @@ class TibetanVoice(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"],"wavs":wavs,'wavfilepath':downloaded_wav}),
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"],"wavs":wavs,'wavfilepath':downloaded_wav}),
         ]
-    def _generate_examples(self, filepath, wavs, wavfilepath):
-        """This function returns the examples in the raw (text) form."""
-        example_map = {}
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            #tsv file
-            reader = csv.reader(f, delimiter="\t", quotechar=None)
-            next(reader)
-            for row in reader:
-                example_map[row["path"]] = row["sentence"]
-
-       
-
-        audio_map = {}
-        for path, f in wavs:
-            _, filename = os.path.split(path)
-            audio_map[filename] = {"path": wavfilepath+'/'+path, "bytes": f.read()}
-
-        for key, path in enumerate(example_map.keys()):
-            _, filename = os.path.split(path)
-            sentence = example_map.get(filename, "")
-            audio = audio_map.get(filename, {})
-            example = {
-                "path": path,
-                "sentence": sentence,
-                "audio": audio
-            }
-            yield key, example
-
-            
-
-        
+    def _generate_examples(self, filepath, wavs):
+    
+      """This function returns the examples in the raw (text) form."""
+      example_map = {}
+      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
+
+      audio_map = {}
+      for path, f in wavs:
+          _, filename = os.path.split(path)
+          audio_map[filename] = {"path": path, "bytes": f.read()}
+
+      for key, path in enumerate(example_map.keys()):
+          _, filename = os.path.split(path)
+          sentence = example_map.get(filename, "")
+          audio = audio_map.get(filename, {})
+          example = {
+              "path": path,
+              "sentence": sentence,
+              "audio": audio
+          }
+          yield key, example
+              
+
+