refactor _split_generators method

superlim-2.py

@@ -297,50 +297,41 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        file_format = 'tsv' if self.config.name != 'swewic' else 'jsonl'
+        splits = []
+        data_dir_test = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"test.{file_format}"))
+        split_test = datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            # These kwargs will be passed to _generate_examples
+            gen_kwargs={
+                "filepath": data_dir_test,
+                "split": "test"
+            },
+        )
+        splits.append(split_test)
         if self.config.name in ("absabank", "dalaj", "swefaq", "swewic"):
-            file_format = 'tsv' if self.config.name != 'swewic' else 'jsonl'
-            data_dir_test = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"test.{file_format}"))
-            data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"train.{file_format}"))
             data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"dev.{file_format}"))
-
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": data_dir_train,
-                        "split": "train",
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": data_dir_test,
-                        "split": "test"
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": data_dir_dev,
-                        "split": "dev",
-                    },
-                ),
-            ]
-        else:
-            data_dir_test = dl_manager.download_and_extract(os.path.join(_URL, _TASKS[self.config.name], "test.tsv"))
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": data_dir_test,
-                        "split": "test"
-                    },
-                ),
-            ]
+            split_dev = datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": data_dir_dev,
+                    "split": "dev",
+                },
+            )
+            splits.append(split_dev)
+        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "argumentation_sent"):
+            data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"train.{file_format}"))
+            split_train = datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": data_dir_train,
+                    "split": "train",
+                },
+            )
+            splits.append(split_train)
+        return splits
 
     def _generate_examples(self, filepath, split):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.