Add Ukrainian court decisions judgment prediction subset

Add a new SLTC subset: `ukrainian_court_decisions_judgment` — case outcome prediction for Ukrainian court decisions.

### Dataset details
- **Source**: [overthelex/ukrainian-court-decisions](https://huggingface.co/datasets/overthelex/ukrainian-court-decisions)
- **Language**: Ukrainian (uk)
- **Task**: Single-label text classification (SLTC)
- **Labels**: `approved`, `dismissed`, `partial`
- **Size**: 10,268 samples (8,214 train / 1,027 val / 1,027 test)
- **Input**: Facts section only (ВСТАНОВИВ marker to ВИРІШИВ marker)
- **Source registry**: State Court Decisions Registry of Ukraine (ЄДРСР, reyestr.court.gov.ua)
- **Jurisdiction**: Civil and commercial courts, 2010–2014

### Why facts only?
Following the approach from Swiss Judgment Prediction and Brazilian Court Decisions subsets, we provide only the facts section to avoid trivially solvable classification (the ruling section contains the answer directly).

### Changes
- Added `_UKRAINIAN_COURT_DECISIONS_JUDGMENT` config dict in `lextreme.py`
- Added `LextremeConfig` entry in `BUILDER_CONFIGS`

This is the first Cyrillic-script / Ukrainian language subset in LexTreme.

lextreme.py

@@ -4101,6 +4101,33 @@ _MAPA_FINE = {
 }
 
 
+_UKRAINIAN_COURT_DECISIONS_JUDGMENT = {
+    "task_type": TaskType.SLTC,
+    "hf_hub_name": "overthelex/ukrainian-court-decisions",
+    "language": "uk",
+    "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 10268 samples extracted from decisions between 2010 and 2014.
+        """
+    ,
+    "citation":
+        """
+        @misc{ovcharov2025ukrainian,
+            title = {{Ukrainian Court Decisions Dataset for Judgment Prediction}},
+            author = {Ovcharov, Volodymyr},
+            year = {2025},
+            url = {https://huggingface.co/datasets/overthelex/ukrainian-court-decisions},
+            note = {Extracted from the State Court Decisions Registry of Ukraine (ЄДРСР)}
+        }
+        """
+    ,
+    "label_classes": ["approved", "dismissed", "partial"],
+}
+
+
 _TURKISH_CONSTITUTIONAL_COURT_DECISIONS_JUDGMENT = {
     "task_type": TaskType.SLTC,
     "hf_hub_name": "KocLab-Bilkent/turkish-constitutional-court",
@@ -4141,6 +4168,7 @@ 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="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),