Update librispeech_asr_clean.py

librispeech_asr_clean.py

@@ -41,10 +41,9 @@ audiobooks from the LibriVox project, and has been carefully segmented and align
 _URL = "http://www.openslr.org/12"
 _DL_URL = "http://www.openslr.org/resources/12/"
 
-_DL_URLS = {"dev": _DL_URL + "dev-clean.tar.gz",
-            "test": _DL_URL + "test-clean.tar.gz",
+_DL_URLS = {"test": _DL_URL + "test-clean.tar.gz",
             "train.100": _DL_URL + "train-clean-100.tar.gz",
-            }
+        }
 
 
 class LibrispeechASRConfig(datasets.BuilderConfig):
@@ -93,7 +92,7 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
         # (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
         local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
 
-        train_splits = [
+        train_split = [
             datasets.SplitGenerator(
                 name="train.100",
                 gen_kwargs={
@@ -102,16 +101,7 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
                 },
             ),
         ]
-        dev_splits = [
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "local_extracted_archive": local_extracted_archive.get("dev"),
-                    "files": dl_manager.iter_archive(archive_path["dev"]),
-                },
-            )
-        ]
-        test_splits = [
+        test_split = [
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
@@ -120,7 +110,7 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
                 },
             )
         ]
-        return train_splits + dev_splits + test_splits
+        return train_split + test_split
 
     def _generate_examples(self, files, local_extracted_archive):
         """Generate examples from a LibriSpeech archive_path."""