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README.md

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 ---
-dataset_info:
-- config_name: full_scale
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  - name: language
-    dtype: string
-  - name: jurisdiction
-    dtype: string
-  - name: adjudication_date
-    dtype: timestamp[s]
-  - name: doc_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 33943843450
-    num_examples: 1567916
-  - name: validation
-    num_bytes: 5226257300
-    num_examples: 195989
-  - name: test
-    num_bytes: 5365271402
-    num_examples: 195991
-  download_size: 16277150563
-  dataset_size: 44535372152
-- config_name: hybrid_war
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  - name: language
-    dtype: string
-  - name: jurisdiction
-    dtype: string
-  - name: adjudication_date
-    dtype: timestamp[s]
-  - name: doc_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 39397455211
-    num_examples: 3349700
-  - name: validation
-    num_bytes: 6143191099
-    num_examples: 418712
-  - name: test
-    num_bytes: 9861234954
-    num_examples: 418714
-  download_size: 17839751898
-  dataset_size: 55401881264
-- config_name: pre_war
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  - name: language
-    dtype: string
-  - name: jurisdiction
-    dtype: string
-  - name: adjudication_date
-    dtype: timestamp[s]
-  - name: doc_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3598755579
-    num_examples: 434609
-  - name: validation
-    num_bytes: 449176765
-    num_examples: 54326
-  - name: test
-    num_bytes: 497273380
-    num_examples: 54327
-  download_size: 1482386360
-  dataset_size: 4545205724
+language:
+- uk
+license: cc-by-4.0
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+pretty_name: "Ukrainian Court Decisions: Case Outcome Prediction (6.7M)"
+size_categories:
+- 1M<n<10M
+tags:
+- legal
+- court-decisions
+- ukraine
+- judgment-prediction
+- legal-nlp
+- temporal-split
+- edrsr
+source_datasets: []
 configs:
-- config_name: full_scale
+- config_name: pre_war
   data_files:
   - split: train
-    path: full_scale/train-*
+    path: pre_war/train-*.parquet
   - split: validation
-    path: full_scale/validation-*
+    path: pre_war/validation-*.parquet
   - split: test
-    path: full_scale/test-*
+    path: pre_war/test-*.parquet
 - config_name: hybrid_war
   data_files:
   - split: train
-    path: hybrid_war/train-*
+    path: hybrid_war/train-*.parquet
   - split: validation
-    path: hybrid_war/validation-*
+    path: hybrid_war/validation-*.parquet
   - split: test
-    path: hybrid_war/test-*
-- config_name: pre_war
+    path: hybrid_war/test-*.parquet
+- config_name: full_scale
   data_files:
   - split: train
-    path: pre_war/train-*
+    path: full_scale/train-*.parquet
   - split: validation
-    path: pre_war/validation-*
+    path: full_scale/validation-*.parquet
   - split: test
-    path: pre_war/test-*
+    path: full_scale/test-*.parquet
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  - name: language
+    dtype: string
+  - name: jurisdiction
+    dtype: string
+  - name: adjudication_date
+    dtype: string
+  - name: doc_id
+    dtype: string
 ---
+
+# Ukrainian Court Decisions: Case Outcome Prediction (6.7M)
+
+The largest publicly available dataset of Ukrainian court decisions for **case outcome prediction**, extracted from the [State Court Decisions Registry](https://reyestr.court.gov.ua/) (EDRSR). Contains **6,690,284** substantive decisions from civil and commercial courts spanning 2008--2026, with temporal splits across three wartime epochs.
+
+## Overview
+
+Ukraine's EDRSR is one of the world's largest open judicial databases, containing 100M+ judicial documents. This dataset extracts the 12.6M substantive decisions (judgment_code=3, "Рішення") from civil and commercial jurisdictions, filtering to 6.7M with parseable case outcomes.
+
+For the benchmark-sized version (428K balanced, with LEXTREME configs), see [overthelex/ukrainian-court-decisions](https://huggingface.co/datasets/overthelex/ukrainian-court-decisions).
+
+## Dataset Structure
+
+Three temporal epoch configs with chronological train/validation/test splits (80/10/10):
+
+| Config | Train | Validation | Test | Total | Period |
+|--------|------:|----------:|-----:|------:|--------|
+| `pre_war` | 434,609 | 54,326 | 54,327 | 543,262 | 2008--2013 |
+| `hybrid_war` | 3,349,700 | 418,712 | 418,714 | 4,187,126 | 2014--2021 |
+| `full_scale` | 1,567,916 | 195,989 | 195,991 | 1,959,896 | 2022--2026 |
+
+### Fields
+
+| Field | Description |
+|-------|-------------|
+| `text` | Facts section of the decision (full, untruncated) |
+| `label` | Case outcome: `approved`, `dismissed`, or `partial` |
+| `language` | Always `uk` (Ukrainian) |
+| `jurisdiction` | `civil` or `commercial` |
+| `adjudication_date` | Date of the decision (YYYY-MM-DD) |
+| `doc_id` | Unique document ID in EDRSR |
+
+### Label distribution (natural, unbalanced)
+
+| Epoch | approved | partial | dismissed |
+|-------|---------|---------|-----------|
+| pre_war | 78.8% | 16.0% | 5.2% |
+| hybrid_war | 76.5% | 14.5% | 9.0% |
+| full_scale | 79.0% | 13.2% | 7.8% |
+
+## Temporal Epochs
+
+The three epochs correspond to distinct phases of Ukrainian legal history, with substantial shifts in judicial practice:
+
+| Epoch | Period | Context |
+|-------|--------|---------|
+| **pre_war** | 2008--2013 | Stable legal environment, ~832 courts operational |
+| **hybrid_war** | 2014--2021 | Crimea annexation, Donbas conflict, ~40 courts lost, displaced judiciary |
+| **full_scale** | 2022--2026 | Full-scale Russian invasion, nationwide martial law, new legal regimes |
+
+Splits are **temporal** (chronological by adjudication date), not random. Earlier decisions are in train, later ones in test -- simulating real deployment conditions.
+
+## Task
+
+Given the **facts section** (ВСТАНОВИВ) of a court decision, predict the case outcome:
+
+| Label | Ukrainian | Description |
+|-------|-----------|-------------|
+| `approved` | Задоволено | Claim fully satisfied |
+| `dismissed` | Відмовлено | Claim dismissed |
+| `partial` | Частково задоволено | Claim partially satisfied |
+
+Only the facts section is provided as input. The court's reasoning and the dispositive (ruling) section are excluded to prevent trivial classification.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load a specific epoch
+ds = load_dataset("overthelex/ua-case-outcome-6m", "hybrid_war")
+
+# Cross-epoch evaluation
+train = load_dataset("overthelex/ua-case-outcome-6m", "pre_war", split="train")
+test = load_dataset("overthelex/ua-case-outcome-6m", "full_scale", split="test")
+```
+
+## Related Datasets
+
+- [overthelex/ukrainian-court-decisions](https://huggingface.co/datasets/overthelex/ukrainian-court-decisions) -- benchmark-sized version (428K balanced) with LEXTREME configs
+- [overthelex/ua-court-citation-graph](https://huggingface.co/datasets/overthelex/ua-court-citation-graph) -- 2.3M co-citation edges from 99.5M court decisions
+- [overthelex/ua-statute-retrieval](https://huggingface.co/datasets/overthelex/ua-statute-retrieval) -- statute retrieval benchmark from 396M citations
+- [overthelex/ua-temporal-drift](https://huggingface.co/datasets/overthelex/ua-temporal-drift) -- temporal concept drift analysis data
+- [joelniklaus/lextreme](https://huggingface.co/datasets/joelniklaus/lextreme) -- multilingual legal NLU benchmark (includes Ukrainian subset)
+
+## Related Papers
+
+- **Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations** ([arXiv:2605.17639](https://arxiv.org/abs/2605.17639)) -- uses the same EDRSR source registry; analyzes temporal effects on legal information retrieval
+- **A Citation Graph from 100 Million Court Decisions: Structure, Dynamics, and Applications** ([arXiv:2605.15362](https://arxiv.org/abs/2605.15362)) -- constructs a citation network from the same 100M+ EDRSR documents
+- **Tokenizer Fertility and Zero-Shot Performance on Ukrainian Legal Text** ([arXiv:2605.14890](https://arxiv.org/abs/2605.14890)) -- evaluates tokenizer quality on Ukrainian court decisions
+- **LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain** ([arXiv:2301.13126](https://arxiv.org/abs/2301.13126)) -- the benchmark this dataset contributes to
+
+## Source Data
+
+- **Registry**: State Court Decisions Registry of Ukraine (ЄДРСР), [reyestr.court.gov.ua](https://reyestr.court.gov.ua/)
+- **Document type**: Substantive decisions only (judgment_code=3, "Рішення")
+- **Jurisdictions**: Civil (justice_kind=1) and commercial (justice_kind=3)
+- **Text processing**: anonymization tokens (ОСОБА_1, АДРЕСА_1, etc.) normalized to [PERSON], [ADDRESS], [NUMBER], [INFO]
+- **Outcome extraction**: regex-based classification from the dispositive section
+
+## Citation
+
+```bibtex
+@misc{ovcharov2025uacaseoutcome,
+  title={Ukrainian Court Decisions: Case Outcome Prediction Dataset (6.7M)},
+  author={Ovcharov, Volodymyr},
+  year={2025},
+  url={https://huggingface.co/datasets/overthelex/ua-case-outcome-6m},
+  note={Extracted from the State Court Decisions Registry of Ukraine (EDRSR)}
+}
+```
+
+## License
+
+CC-BY-4.0. The source data is published by the State Court Administration of Ukraine under open access provisions per Ukrainian law "On Access to Court Decisions" (2005).