changing to one sub area dataset

swiss_law_area_prediction.py

@@ -42,7 +42,7 @@ _URLS = {
 def get_url(config_name):
     if config_name == "main":
         return _URLS["main"]
-    if config_name == "public" or config_name == "civil" or config_name == "criminal":
+    if config_name == "sub_area":
         return _URLS["sub"]
 
 
@@ -64,9 +64,7 @@ class LawAreaPrediction(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="main", version=VERSION, description="This part of my dataset covers the whole dataset"),
-        datasets.BuilderConfig(name="public", version=VERSION, description="This dataset is for predicting the sub law areas of the public law"),
-        datasets.BuilderConfig(name="civil", version=VERSION, description="This dataset is for predicting the sub law areas of the civil law"),
-        datasets.BuilderConfig(name="criminal", version=VERSION, description="This dataset is for predicting the sub law areas of the criminal law"),
+        datasets.BuilderConfig(name="sub_area", version=VERSION, description="This dataset is for predicting sub law areas"),
     ]
 
     DEFAULT_CONFIG_NAME = "main"  # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -199,8 +197,7 @@ class LawAreaPrediction(datasets.GeneratorBasedBuilder):
                                 "canton": data["canton"],
                                 "region": data["region"]
                             }
-                        if self.config.name == "public" or self.config.name == "civil" or self.config.name == "criminal":
-                            if self.belongs_to_law_area(data["label"]):
+                        if self.config.name == "sub_area":
                                 yield id, {
                                     "decision_id": data["decision_id"],
                                     "facts": data["facts"],