Update FIREBALL.py

FIREBALL.py

@@ -57,9 +57,9 @@ _URLS = {
     "FIREBALL": "https://huggingface.co/datasets/lara-martin/FIREBALL/tree/main/filtered",
 }
 
+url = _URLS[self.config.name]
 
-# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class NewDataset(datasets.GeneratorBasedBuilder):
+class Fireball(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.0.0")
@@ -77,7 +77,6 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         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.
 
     def _info(self):
         
@@ -180,16 +179,14 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         )
 
     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
+        # This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
+        
 
         # 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
-        url = _URLS[self.config.name]
         #data_dir = dl_manager.download_and_extract(urls)
-        print(url)
-        downloaded_files = dl_manager.download([files for root,dir,files in os.walk(url)])
+        downloaded_files = dl_manager.download([f for f in os.listdir(url) if os.path.isfile(f)])
         print(downloaded_files)
         return [
             datasets.SplitGenerator(