Update Ukrainian court decisions: 3 temporal epoch configs

Replace single config with three epoch-specific configs as recommended:
- pre_war (2008-2013): 128K samples
- hybrid_war (2014-2021): 150K samples
- full_scale (2022-2026): 150K samples

Each config has temporal train/val/test splits (chronological, not random)
for more realistic evaluation.

lextreme.py

@@ -4108,11 +4108,6 @@ _UKRAINIAN_COURT_DECISIONS_JUDGMENT = {
     "input_col": "text",
     "label_col": "label",
     "url": "https://reyestr.court.gov.ua/",
-    "description":
-        """
-        Ukrainian Court Decisions Judgment Prediction dataset. Contains facts sections (ВСТАНОВИВ) of civil and commercial court decisions from the State Court Decisions Registry of Ukraine (ЄДРСР). The task is to predict the judgment outcome: approved, dismissed, or partial. The dataset contains 150,000 balanced samples (50K per class) extracted from ~800K decisions between 2013 and 2014.
-        """
-    ,
     "citation":
         """
         @misc{ovcharov2025ukrainian,
@@ -4126,6 +4121,33 @@ _UKRAINIAN_COURT_DECISIONS_JUDGMENT = {
     ,
     "label_classes": ["approved", "dismissed", "partial"],
 }
+_UKRAINIAN_COURT_DECISIONS_JUDGMENT_PRE_WAR = {
+    **_UKRAINIAN_COURT_DECISIONS_JUDGMENT,
+    "config_name": "pre_war",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (pre-war epoch, 2008-2013). Contains facts sections of 128K civil and commercial court decisions from the State Court Decisions Registry of Ukraine (ЄДРСР). Temporal train/val/test split: train (2008-2012), val (2012-2013), test (2013). The task is to predict the judgment outcome: approved, dismissed, or partial.
+        """
+    ,
+}
+_UKRAINIAN_COURT_DECISIONS_JUDGMENT_HYBRID_WAR = {
+    **_UKRAINIAN_COURT_DECISIONS_JUDGMENT,
+    "config_name": "hybrid_war",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (hybrid war epoch, 2014-2021). Contains facts sections of 150K civil and commercial court decisions from the State Court Decisions Registry of Ukraine (ЄДРСР). Temporal train/val/test split: train (2014-2020), val (2020-2021), test (2021). The task is to predict the judgment outcome: approved, dismissed, or partial.
+        """
+    ,
+}
+_UKRAINIAN_COURT_DECISIONS_JUDGMENT_FULL_SCALE = {
+    **_UKRAINIAN_COURT_DECISIONS_JUDGMENT,
+    "config_name": "full_scale",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (full-scale war epoch, 2022-2026). Contains facts sections of 150K civil and commercial court decisions from the State Court Decisions Registry of Ukraine (ЄДРСР). Temporal train/val/test split: train (2022-2025), val (2025), test (2025-2026). The task is to predict the judgment outcome: approved, dismissed, or partial.
+        """
+    ,
+}
 
 
 _TURKISH_CONSTITUTIONAL_COURT_DECISIONS_JUDGMENT = {
@@ -4168,7 +4190,9 @@ class LEXTREME(datasets.GeneratorBasedBuilder):
         LextremeConfig(name="greek_legal_code_chapter", **_GREEK_LEGAL_CODE_CHAPTER),
         LextremeConfig(name="greek_legal_code_subject", **_GREEK_LEGAL_CODE_SUBJECT),
         LextremeConfig(name="online_terms_of_service_unfairness_levels", **_ONLINE_TERMS_OF_SERVICE_UNFAIRNESS_LEVELS),
-        LextremeConfig(name="ukrainian_court_decisions_judgment", **_UKRAINIAN_COURT_DECISIONS_JUDGMENT),
+        LextremeConfig(name="ukrainian_court_decisions_judgment_pre_war", **_UKRAINIAN_COURT_DECISIONS_JUDGMENT_PRE_WAR),
+        LextremeConfig(name="ukrainian_court_decisions_judgment_hybrid_war", **_UKRAINIAN_COURT_DECISIONS_JUDGMENT_HYBRID_WAR),
+        LextremeConfig(name="ukrainian_court_decisions_judgment_full_scale", **_UKRAINIAN_COURT_DECISIONS_JUDGMENT_FULL_SCALE),
         LextremeConfig(name="turkish_constitutional_court_decisions_judgment", **_TURKISH_CONSTITUTIONAL_COURT_DECISIONS_JUDGMENT),
         LextremeConfig(name="swiss_criticality_prediction_bge_facts", **_SWISS_CRITICLALITY_PREDICTION_BGE_FACTS),
         LextremeConfig(name="swiss_criticality_prediction_bge_considerations", **_SWISS_CRITICLALITY_PREDICTION_BGE_CONSIDERATIONS),