resolving card bugs

py_legislation.py

@@ -31,9 +31,10 @@ _URLS = {
 
 # [>] URLS:
 
+URL = "https://huggingface.co/datasets/fernandoperes/py_legislation/raw/main"
 _URLS = {
-    "raw_text": "./raw_text/train.parquet",
-    "unlabeled_sentences": "./unlabeled_sentences/train.parquet",
+    "raw_text": f"{URL}/raw_text/train.parquet",
+    "unlabeled_sentences": f"{URL}/unlabeled_sentences/train.parquet",
     # "labeled_sentences_train": "./labeled_sentences/train.parquet",
     # "labeled_sentences_test": "./labeled_sentences/test.parquet",
 }
@@ -244,8 +245,9 @@ class PYLegislation(datasets.GeneratorBasedBuilder):
         features = None
         description = None
         if self.config.name in _CONFIGS.keys():
-            features = datasets.Features(_CONFIGS[self.config.name]["features"])
-            description =_CONFIGS[self.config.name]["description"]
+            features = datasets.Features(
+                _CONFIGS[self.config.name]["features"])
+            description = _CONFIGS[self.config.name]["description"]
 
         # if self.config.name == "raw_text":
         #     description = _metadata["raw_text"]["description"]
@@ -289,9 +291,9 @@ class PYLegislation(datasets.GeneratorBasedBuilder):
             fp = dl_manager.download_and_extract(urls_to_download[k])
             generators.append(
                 datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,gen_kwargs={"filepath": fp}))
+                    name=datasets.Split.TRAIN, gen_kwargs={"filepath": fp}))
 
-        #us_train = dl_manager.download_and_extract(
+        # us_train = dl_manager.download_and_extract(
         #     urls_to_download["unlabeled_sentences"])
 
         # ls_train = dl_manager.download_and_extract(
@@ -300,10 +302,7 @@ class PYLegislation(datasets.GeneratorBasedBuilder):
         # ls_test = dl_manager.download_and_extract(
         #     urls_to_download["labeled_sentences_test"])
 
-
-
-
-        #generators.append(
+        # generators.append(
         #    datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": us_train}))
 
             # datasets.SplitGenerator(