Add Ukrainian court decisions judgment prediction subset

README.md

@@ -28,6 +28,7 @@ language:
 - sk 
 - sl 
 - sv
+- uk
 license:
 - cc-by-4.0
 multilinguality:
@@ -87,7 +88,7 @@ task_ids:
 
 ### Dataset Summary
 
-The dataset consists of 11 diverse multilingual legal NLU datasets. 6 datasets have one single configuration and 5 datasets have two or three configurations. This leads to a total of 18 tasks (8 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-classification tasks).
+The dataset consists of 12 diverse multilingual legal NLU datasets. 6 datasets have one single configuration, 5 datasets have two or three configurations, and 1 dataset has three temporal epoch configurations. This leads to a total of 21 tasks (11 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-classification tasks).
 
 Use the dataset like this:
 ```python
@@ -114,11 +115,12 @@ In detail, we support the folliwing tasks and configurations:
 | LegalNERo                  |  Named Entity Recognition |                         default  |                                         [legalnero](https://huggingface.co/datasets/joelito/legalnero) |
 | Greek Legal NER            |  Named Entity Recognition |                         default  |                             [greek_legal_ner](https://huggingface.co/datasets/joelito/greek_legal_ner) |
 | MAPA                       |  Named Entity Recognition |                  (coarse, fine)  |                                                   [mapa](https://huggingface.co/datasets/joelito/mapa) |
+| Ukrainian Court Decisions  |       Judgment Prediction | (pre_war, hybrid_war, full_scale) | [overthelex/ukrainian-court-decisions](https://huggingface.co/datasets/overthelex/ukrainian-court-decisions) |
 
 
 ### Languages
 
-The following languages are supported: bg , cs , da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv
+The following languages are supported: bg, cs, da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv, uk
 
 ## Dataset Structure
 

lextreme.py

@@ -4101,6 +4101,55 @@ _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/",
+    "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"],
+}
+_UKRAINIAN_COURT_DECISIONS_JUDGMENT_PRE_WAR = {
+    **_UKRAINIAN_COURT_DECISIONS_JUDGMENT,
+    "config_name": "pre_war_lextreme",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (pre-war epoch, 2008-2013). LEXTREME benchmark subset with 1000 val/test samples. Full untruncated facts sections from civil and commercial court decisions (ЄДРСР). Temporal train/val/test split. 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_lextreme",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (hybrid war epoch, 2014-2021). LEXTREME benchmark subset with 1000 val/test samples. Full untruncated facts sections from civil and commercial court decisions (ЄДРСР). Temporal train/val/test split. 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_lextreme",
+    "description":
+        """
+        Ukrainian Court Decisions Judgment Prediction (full-scale war epoch, 2022-2026). LEXTREME benchmark subset with 1000 val/test samples. Full untruncated facts sections from civil and commercial court decisions (ЄДРСР). Temporal train/val/test split. The task is to predict the judgment outcome: approved, dismissed, or partial.
+        """
+    ,
+}
+
+
 _TURKISH_CONSTITUTIONAL_COURT_DECISIONS_JUDGMENT = {
     "task_type": TaskType.SLTC,
     "hf_hub_name": "KocLab-Bilkent/turkish-constitutional-court",
@@ -4141,6 +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_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),