little change loading script and updated README.md

README.md

@@ -1,18 +1,56 @@
 ---
 license: cc-by-sa-4.0
 ---
-
+Only a small part of the actual dataset for testing purposes uploaded at the moment.
 # Law Area Prediction
 
 ## Introduction
+The main subset contains cases to be classified into the four main areas of law: Public, Civil, Criminal and Social
+
+A portion of the cases from the main areas Public, Civil and Criminal can be classified further into sub-areas:
+```
+"public": ['Tax', 'Urban Planning and Environmental', 'Expropriation', 'Public Administration', 'Other Fiscal'],
+"civil": ['Rental and Lease', 'Employment Contract', 'Bankruptcy', 'Family', 'Competition and Antitrust', 'Intellectual Property'],
+'criminal': ['Substantive Criminal', 'Criminal Procedure']
+```
+
 
 ## Size
 
 
 ## Load datasets
-
+Load the main dataset:
 ```python
 dataset = load_dataset("rcds/law_area_prediction")
 ```
+Load the dataset with the sub-areas of Civil law:
+```python
+dataset = load_dataset("rcds/law_area_prediction", "civil")
+```
 
 ## Columns
+### Main dataset
+- decision_id: unique identifier for the decision
+- facts: facts section of the decision
+- considerations: considerations section of the decision
+- label: label of the decision (main area of law)
+- law_sub_area: sub area of law of the decision
+- language: language of the decision
+- year: year of the decision
+- court: court of the decision
+- chamber: chamber of the decision
+- canton: canton of the decision
+- region: region of the decision
+
+### Sub-area dataset
+- decision_id: unique identifier for the decision
+- facts: facts section of the decision
+- considerations: considerations section of the decision
+- law_area: label of the decision (main area of law)
+- label: sub area of law of the decision
+- language: language of the decision
+- year: year of the decision
+- court: court of the decision
+- chamber: chamber of the decision
+- canton: canton of the decision
+- region: region of the decision

law_area_prediction.py

@@ -42,7 +42,7 @@ _URLS = {
 def get_url(config_name):
     if config_name == "main":
         return _URLS["main"]
-    if config_name == "criminal" or config_name == "criminal" or config_name == "criminal":
+    if config_name == "public" or config_name == "civil" or config_name == "criminal":
         return _URLS["sub"]
 
 
@@ -64,8 +64,8 @@ class CourtViewGeneration(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="criminal", version=VERSION, description="This dataset is for predicting the sub law areas of the public law"),
-        datasets.BuilderConfig(name="criminal", version=VERSION, description="This dataset is for predicting the sub law areas of the civil law"),
+        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"),
     ]
 
@@ -162,8 +162,8 @@ class CourtViewGeneration(datasets.GeneratorBasedBuilder):
 
     def belongs_to_law_area(self, law_sub_area):
         area_map = {
-            "criminal": ['Tax', 'Urban Planning and Environmental', 'Expropriation', 'Public Administration', 'Other Fiscal'],
-            "criminal": ['Rental and Lease', 'Employment Contract', 'Bankruptcy', 'Family', 'Competition and Antitrust', 'Intellectual Property'],
+            "public": ['Tax', 'Urban Planning and Environmental', 'Expropriation', 'Public Administration', 'Other Fiscal'],
+            "civil": ['Rental and Lease', 'Employment Contract', 'Bankruptcy', 'Family', 'Competition and Antitrust', 'Intellectual Property'],
             'criminal': ['Substantive Criminal', 'Criminal Procedure']
         }
         if law_sub_area in area_map[self.config.name]:
@@ -199,7 +199,7 @@ class CourtViewGeneration(datasets.GeneratorBasedBuilder):
                                 "canton": data["canton"],
                                 "region": data["region"]
                             }
-                        if self.config.name == "criminal" or self.config.name == "criminal" or self.config.name == "criminal":
+                        if self.config.name == "public" or self.config.name == "civil" or self.config.name == "criminal":
                             if self.belongs_to_law_area(data["label"]):
                                 yield id, {
                                     "decision_id": data["decision_id"],