Update script to iterate data files for all dates

ar_cov19.py

@@ -121,14 +121,15 @@ class ArCov19(datasets.GeneratorBasedBuilder):
         # 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(_URL)
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data_dir": data_dir})]
+        data_files = dl_manager.iter_files(data_dir)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data_files": data_files})]
 
-    def _generate_examples(self, data_dir):
+    def _generate_examples(self, data_files):
         """Yields examples."""
         # TODO: This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method.
         # It is in charge of opening the given file and yielding (key, example) tuples from the dataset
         # The key is not important, it's more here for legacy reason (legacy from tfds)
-        for fname in sorted(glob.glob(os.path.join(data_dir, "dataset-all_tweets", "2020-*"))):
+        for fname in data_files:
 
             df = pd.read_csv(fname, names=["tweetID"])
             for id_, record in df.iterrows():