split generator test

legalglue.py

@@ -158,49 +158,47 @@ class LegalGLUE(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": self.config.data_files,
+                    "filepath": [os.path.join(archive, file) for file in self.config.data_files],
                     "split": "train",
-                    "archive": archive,
+                    #"files": dl_manager.iter_archive(archive),
                 },
             )
-        else:
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": self.config.data_files,
-                        "split": "train",
-                        "files": dl_manager.iter_archive(archive),
-                        },
-                    ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": self.config.data_files,
-                        "split": "test",
-                        "files": dl_manager.iter_archive(archive),
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": self.config.data_files,
-                        "split": "validation",
-                        "files": dl_manager.iter_archive(archive),
-                    },
-                ),
-            ]
-
-    def _generate_examples(self, filepath, split, archive):
+        # else:
+        #     return [
+        #         datasets.SplitGenerator(
+        #             name=datasets.Split.TRAIN,
+        #             # These kwargs will be passed to _generate_examples
+        #             gen_kwargs={
+        #                 "filepath": self.config.data_files,
+        #                 "split": "train",
+        #                 "files": dl_manager.iter_archive(archive),
+        #                 },
+        #             ),
+        #         datasets.SplitGenerator(
+        #             name=datasets.Split.TEST,
+        #             # These kwargs will be passed to _generate_examples
+        #             gen_kwargs={
+        #                 "filepath": self.config.data_files,
+        #                 "split": "test",
+        #                 "files": dl_manager.iter_archive(archive),
+        #             },
+        #         ),
+        #         datasets.SplitGenerator(
+        #             name=datasets.Split.VALIDATION,
+        #             # These kwargs will be passed to _generate_examples
+        #             gen_kwargs={
+        #                 "filepath": self.config.data_files,
+        #                 "split": "validation",
+        #                 "files": dl_manager.iter_archive(archive),
+        #             },
+        #         ),
+        #     ]
+
+    def _generate_examples(self, filepath, split):
         if self.config_name == "german_ler":
-
             texts, labels = [], []
-            for file in filepath:
-                path = os.path.join(archive,file)
-                with open (path, encoding="utf-8") as f:
+            for path in filepath:
+                with open(path, encoding="utf-8") as f:
                     tokens = []
                     tags = []
                     for line in f: