fixing split generator

FIREBALL.py

@@ -76,7 +76,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="FIREBALL", version=VERSION, description="This part of my dataset covers a first domain"),
+        datasets.BuilderConfig(name="FIREBALL", version=VERSION),
     ]
 
     DEFAULT_CONFIG_NAME = "FIREBALL"  # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -181,28 +181,25 @@ class NewDataset(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)
-    #     for root,dirs,files in os.walk(data_dir):
-    #         for f in files:
-    #             data = os.path.join()
-    #     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",
-    #             },
-    #         ),
-    #     ]
+    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": data_dir,
+                    "split": "train",
+                },
+            ),
+        ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):