reading files from list

FIREBALL.py

@@ -54,7 +54,7 @@ _LICENSE = "cc-by-4.0"
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {
-    "FIREBALL": "https://huggingface.co/datasets/lara-martin/FIREBALL/tree/main/filtered",
+    "FIREBALL": "https://huggingface.co/datasets/lara-martin/FIREBALL/tree/main/"
 }
 
 
@@ -179,14 +179,17 @@ class Fireball(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         # This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-        
+        # based off of OSCAR - https://huggingface.co/datasets/oscar/blob/main/oscar.py
         url = _URLS[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
         #data_dir = dl_manager.download_and_extract(urls)
-        downloaded_files = dl_manager.download([f for f in os.listdir(url) if os.path.isfile(f)])
-        print(downloaded_files)
+        file_list = dl_manager.download(url+"files.txt")
+        with open(file_list) as f:
+            data_filenames  = [line.strip() for line in f if line]
+            data_urls = dl_manager.download([url+"filtered/"+data_filename for data_filename in data_filenames])
+        downloaded_files = dl_manager.download(data_urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,