Update librispeech_asr_individual.py

librispeech_asr_individual.py

@@ -77,6 +77,15 @@ _DL_URLS = {
     "test.other": {
         "test.other": _DL_URL + "test-other.tar.gz",
     }
+    "train.clean.100":{
+        "train.clean.100": _DL_URL + "train-clean-100.tar.gz",
+    }
+    "train.clean.360":{
+        "train.clean.360": _DL_URL + "train-clean-360.tar.gz",
+    }
+    "train.other.500":{
+        "train.other.500": _DL_URL + "train-other-500.tar.gz",
+    }
 }
 
 
@@ -301,7 +310,54 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
                     },
                 ),
             ]
-
+        elif self.config.name == "train.clean.100":
+            train_splits = [
+                datasets.SplitGenerator(
+                    name="train.clean.100",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("train.clean.100"),
+                        "files": dl_manager.iter_archive(archive_path["train.clean.100"]),
+                    },
+                ),
+            ]
+            dev_splits = []
+            test_splits = []
+        elif self.config.name == "train.clean.100":
+            train_splits = [
+                datasets.SplitGenerator(
+                    name="train.clean.100",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("train.clean.100"),
+                        "files": dl_manager.iter_archive(archive_path["train.clean.100"]),
+                    },
+                ),
+            ]
+            dev_splits = []
+            test_splits = []
+        elif self.config.name == "train.clean.360":
+            train_splits = [
+                datasets.SplitGenerator(
+                    name="train.clean.360",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("train.clean.360"),
+                        "files": dl_manager.iter_archive(archive_path["train.clean.360"]),
+                    },
+                ),
+            ]
+            dev_splits = []
+            test_splits = []
+        elif self.config.name == "train.other.500":
+            train_splits = [
+                datasets.SplitGenerator(
+                    name="train.other.500",
+                    gen_kwargs={
+                        "local_extracted_archive": local_extracted_archive.get("train.clean.500"),
+                        "files": dl_manager.iter_archive(archive_path["train.clean.500"]),
+                    },
+                ),
+            ]
+            dev_splits = []
+            test_splits = []
         return train_splits + dev_splits + test_splits
 
     def _generate_examples(self, files, local_extracted_archive):