Update librispeech_asr_individual.py

librispeech_asr_individual.py

@@ -68,6 +68,15 @@ _DL_URLS = {
     "validation.clean": {
         "dev.clean": _DL_URL + "dev-clean.tar.gz",
     }
+    "validation.other": {
+        "dev.other": _DL_URL + "dev-other.tar.gz",
+    }
+    "test.clean": {
+        "test.clean": _DL_URL + "test-clean.tar.gz",
+    }
+    "test.other": {
+        "test.other": _DL_URL + "test-other.tar.gz",
+    }
 }
 
 
@@ -96,6 +105,9 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
         LibrispeechASRConfig(name="other", description="'Other', more challenging, speech."),
         LibrispeechASRConfig(name="all", description="Combined clean and other dataset."),
         LibrispeechASRConfig(name="validation.clean", description="Validation Clean only"),
+        LibrispeechASRConfig(name="validation.other", description="Validation Other only"),
+        LibrispeechASRConfig(name="test.clean", description="Test Clean only"),
+        LibrispeechASRConfig(name="test.other", description="Test Other only"),
     ]
 
     def _info(self):
@@ -253,6 +265,42 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
                 ),
             ]
             test_splits = []
+        elif self.config.name == "validation.other":
+            train_splits = []
+            dev_splits = [
+                datasets.SplitGenerator(
+                    name="validation.other",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("dev.clean"),
+                        "files": dl_manager.iter_archive(archive_path["dev.clean"]),
+                    },
+                ),
+            ]
+            test_splits = []
+        elif self.config.name == "test.clean":
+            train_splits = []
+            dev_splits = []
+            test_splits = [
+                datasets.SplitGenerator(
+                    name="test.clean",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("dev.clean"),
+                        "files": dl_manager.iter_archive(archive_path["dev.clean"]),
+                    },
+                ),
+            ]
+        elif self.config.name == "test.other":
+            train_splits = []
+            dev_splits = []
+            test_splits = [
+                datasets.SplitGenerator(
+                    name="test.other",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("dev.clean"),
+                        "files": dl_manager.iter_archive(archive_path["dev.clean"]),
+                    },
+                ),
+            ]
 
         return train_splits + dev_splits + test_splits