Add split generator

oas-paired-sequence-data.py

@@ -107,41 +107,41 @@ class OasPairedSequenceData(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    # def _split_generators(self, dl_manager):
-    #     # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-    #     # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-    #     # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-    #     # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-    #     # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-    #     urls = _URLS[self.config.name]
-    #     data_dir = dl_manager.download_and_extract(urls)
-    #     return [
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.TRAIN,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "train.jsonl"),
-    #                 "split": "train",
-    #             },
-    #         ),
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.VALIDATION,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "dev.jsonl"),
-    #                 "split": "dev",
-    #             },
-    #         ),
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.TEST,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "test.jsonl"),
-    #                 "split": "test",
-    #             },
-    #         ),
-    #     ]
+    def _split_generators(self, dl_manager):
+        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
+        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
+
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
+        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
+        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "split": "train",
+                },
+            ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.VALIDATION,
+            #     # These kwargs will be passed to _generate_examples
+            #     gen_kwargs={
+            #         "filepath": os.path.join(data_dir, "dev.jsonl"),
+            #         "split": "dev",
+            #     },
+            # ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.TEST,
+            #     # These kwargs will be passed to _generate_examples
+            #     gen_kwargs={
+            #         "filepath": os.path.join(data_dir, "test.jsonl"),
+            #         "split": "test",
+            #     },
+            # ),
+        ]
 
     # # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     # def _generate_examples(self, filepath, split):