Update lextreme.py

lextreme.py

@@ -164,9 +164,9 @@ _SWISS_JUDGMENT_PREDICTION = {
 
 _SWISS_CRITICLALITY_PREDICTION_BGE_FACTS = {
     "task_type": TaskType.SLTC,
-    "hf_hub_name": "rcds/legal_criticality_prediction",
+    "hf_hub_name": "rcds/swiss_criticality_prediction",
     "config_name": "full",
-    "url": "https://huggingface.co/datasets/rcds/legal_criticality_prediction",
+    "url": "https://huggingface.co/datasets/rcds/swiss_criticality_prediction",
     "input_col": "facts",
     "label_col": "bge_label",
     "description":
@@ -197,6 +197,85 @@ _SWISS_CRITICLALITY_PREDICTION_CITATION_CONSIDERATIONS = {
     "label_classes": ["critical-1", "critical-2", "critical-3", "critical-4"],
 }
 
+_SWISS_JUDGMENT_PREDICTION_XL_FACTS = {
+    "task_type": TaskType.SLTC,
+    "hf_hub_name": "rcds/swiss_judgment_prediction_xl",
+    "input_col": "facts",
+    "label_col": "label",
+    "url": "https://huggingface.co/datasets/rcds/swiss_judgment_prediction_xl",
+    "description":
+        """
+        Swiss-Judgment-Prediction is a multilingual, diachronic dataset Swiss Court cases annotated with the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task.
+        """
+    ,
+    "citation": """TODO add citation""",
+    "label_classes": ["dismissal", "approval"],
+}
+
+_SWISS_JUDGMENT_PREDICTION_XL_CONSIDERATIONS = {
+    **_SWISS_JUDGMENT_PREDICTION_XL_FACTS,
+    "input_col": "considerations",
+}
+
+_SWISS_LAW_AREA_PREDICTION_FACTS = {
+    "task_type": TaskType.SLTC,
+    "hf_hub_name": "rcds/swiss_law_area_prediction",
+    "url": "https://huggingface.co/datasets/rcds/swiss_law_area_prediction",
+    "input_col": "facts",
+    "label_col": "label",
+    "config_name": "main",
+    "description":
+        """
+        Law Area Prediction is a multilingual, diachronic dataset of Swiss Court (FSCS) cases annotated with a law area.
+        """
+    ,
+    "citation": """TODO add citation""",
+    "label_classes": ["civil", "public", "criminal"],
+}
+
+_SWISS_LAW_AREA_PREDICTION_CONSIDERATIONS = {
+    **_SWISS_LAW_AREA_PREDICTION_FACTS,
+    "input_col": "considerations",
+}
+
+_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS = {
+    **_SWISS_LAW_AREA_PREDICTION_FACTS,
+    "config_name": "civil",
+    "label_col": "law_area",
+    "label_classes": ['Rental and Lease', 'Employment Contract', 'Bankruptcy', 'Family', 'Competition and Antitrust', 'Intellectual Property']
+}
+
+_SWISS_LAW_AREA_PREDICTION_CRIMINAL_FACTS = {
+    **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS,
+    "config_name": "criminal",
+    "label_classes": ['Substantive Criminal', 'Criminal Procedure']
+}
+
+_SWISS_LAW_AREA_PREDICTION_PUBLIC_FACTS = {
+    **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS,
+    "config_name": "public",
+    "label_classes": ['Tax', 'Urban Planning and Environmental', 'Expropriation', 'Public Administration', 'Other Fiscal']
+}
+
+_SWISS_LAW_AREA_PREDICTION_CIVIL_CONSIDERATIONS = {
+    **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS,
+    "input_col": "considerations",
+}
+
+_SWISS_LAW_AREA_PREDICTION_CRIMINAL_CONSIDERATIONS = {
+    **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS,
+    "config_name": "criminal",
+    "input_col": "considerations",
+    "label_classes": ['Substantive Criminal', 'Criminal Procedure']
+}
+
+_SWISS_LAW_AREA_PREDICTION_PUBLIC_CONSIDERATIONS = {
+    **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS,
+    "config_name": "public",
+    "input_col": "considerations",
+    "label_classes": ['Tax', 'Urban Planning and Environmental', 'Expropriation', 'Public Administration', 'Other Fiscal']
+}
+
 _GERMAN_ARGUMENT_MINING = {
     "task_type": TaskType.SLTC,
     "hf_hub_name": "joelito/german_argument_mining",
@@ -4093,6 +4172,16 @@ class LEXTREME(datasets.GeneratorBasedBuilder):
         LextremeConfig(name="swiss_criticality_prediction_bge_considerations", **_SWISS_CRITICLALITY_PREDICTION_BGE_CONSIDERATIONS),
         LextremeConfig(name="swiss_criticality_prediction_citation_facts", **_SWISS_CRITICLALITY_PREDICTION_CITATION_FACTS),
         LextremeConfig(name="swiss_criticality_prediction_citation_considerations", **_SWISS_CRITICLALITY_PREDICTION_CITATION_CONSIDERATIONS),
+        LextremeConfig(name="swiss_law_area_prediction_facts", **_SWISS_LAW_AREA_PREDICTION_FACTS),
+        LextremeConfig(name="swiss_law_area_prediction_considerations", **_SWISS_LAW_AREA_PREDICTION_CONSIDERATIONS),
+        LextremeConfig(name="swiss_law_area_prediction_civil_facts", **_SWISS_LAW_AREA_PREDICTION_CIVIL_FACTS),
+        LextremeConfig(name="swiss_law_area_prediction_civil_considerations", **_SWISS_LAW_AREA_PREDICTION_CIVIL_CONSIDERATIONS),
+        LextremeConfig(name="swiss_law_area_prediction_criminal_facts", **_SWISS_LAW_AREA_PREDICTION_CRIMINAL_FACTS),
+        LextremeConfig(name="swiss_law_area_prediction_criminal_considerations", **_SWISS_LAW_AREA_PREDICTION_CRIMINAL_CONSIDERATIONS),
+        LextremeConfig(name="swiss_law_area_prediction_public_facts", **_SWISS_LAW_AREA_PREDICTION_PUBLIC_FACTS),
+        LextremeConfig(name="swiss_law_area_prediction_public_considerations", **_SWISS_LAW_AREA_PREDICTION_PUBLIC_CONSIDERATIONS),
+        LextremeConfig(name="swiss_judgment_prediction_xl_facts", **_SWISS_JUDGMENT_PREDICTION_XL_FACTS),
+        LextremeConfig(name="swiss_judgment_prediction_xl_considerations", **_SWISS_JUDGMENT_PREDICTION_XL_CONSIDERATIONS),
 
         # MLTC tasks
         LextremeConfig(name="online_terms_of_service_clause_topics", **_ONLINE_TERMS_OF_SERVICE_CLAUSE_TOPICS),