Update FIREBALL.py

FIREBALL.py

@@ -79,7 +79,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="first_domain", version=VERSION, description="This part of my dataset covers a first domain"),
     ]
 
-    DEFAULT_CONFIG_NAME = "first_domain"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    DEFAULT_CONFIG_NAME = "FIREBALL"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
         
@@ -181,25 +181,28 @@ 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)
-        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)
+    #     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",
+    #             },
+    #         ),
+    #     ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
@@ -208,7 +211,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         key = 0
         for root,dirs,files in os.walk(filepath):
           for file in files:
-            with jsonlines.open(file) as f:
+            with jsonlines.open(os.path.join(root,file)) as f:
               for data in f:
                 # Yields examples as (key, example) tuples
                 yield key, {