---
language:
- ko
license: cc-by-nc-4.0
task_categories:
- question-answering
- text-retrieval
tags:
- legal
- korean
- bar-exam
- RAG
- civil-law
size_categories:
- 100K<n<1M
---
## Dataset Description

A comprehensive Korean legal dataset for evaluating RAG systems, containing court cases, statutes, and bar examination questions.

### Dataset Summary

| Data Type | Count | Description |
|-----------|-------|-------------|
| Court Cases | 193,276 | Korean court judgments (including 29,730 Constitutional Court decisions) |
| Statutes (metadata) | 5,474 | Current Korean statutes |
| Statute Articles | 200,633 | Individual statute articles |
| Benchmark Questions | 150 | 14th Korean Bar Examination (2025) multiple-choice questions |

### Languages

Korean (ko)

## Dataset Structure

### Files

```
legal_mcp/
├── court_cases.csv          # 193,276 court judgments
├── statutes.csv             # 200,633 statute articles
├── statutes_metadata.csv    # 5,474 statute metadata
└── benchmark.csv            # 150 bar exam questions
```

### Court Cases (`court_cases.csv`)

193,276 Korean court judgments including Supreme Court and Constitutional Court decisions.

| Field | Type | Description |
|-------|------|-------------|
| `case_id` | string | Unique identifier |
| `case_number` | string | Case number (e.g., "2022헌마884") |
| `case_name` | string | Case name |
| `case_type` | string | Case type (헌마, 헌바, 민사, 형사, etc.) |
| `court_name` | string | Court name (헌법재판소, 대법원, etc.) |
| `decision_date` | string | Decision date (YYYYMMDD) |
| `case_content` | string | Full judgment text |
| `judgment_summary` | string | Judgment summary |
| `issues` | string | Issue summary (may be empty) |
| `reference_statute` | string | Referenced statutes |
| `judged_statute` | string | Adjudicated statutes (Constitutional Court) |
| `reference_case` | string | Referenced cases (comma-separated) |
| `reference_case_count` | int | Number of referenced cases |
| `case_detail_link` | string | Link to official source |
| `token_count` | int | Token count |

### Statutes (`statutes.csv`)

200,633 individual statute articles from current Korean law.

| Field | Type | Description |
|-------|------|-------------|
| `statute_id` | string | Statute unique identifier |
| `law_name` | string | Statute name |
| `law_type` | string | Statute type (법률, 대통령령, 시행령, etc.) |
| `department` | string | Governing department |
| `abbreviation` | string | Abbreviation (e.g., 개인정보보호법) |
| `revision_type_name` | string | Revision type (전부개정, 일부개정, 타법개정, etc.) |
| `effective_date` | string | Effective date (YYYYMMDD) |
| `promulgation_date` | string | Promulgation date (YYYYMMDD) |
| `clause_number` | string | Article number (e.g., "1", "2의2") |
| `clause_title` | string | Article title |
| `clause_content` | string | Article content (full text) |
| `clause_count` | int | Total number of articles in statute |
| `reference_case_count` | int | Number of cases citing this article |
| `law_detail_link` | string | Link to official source |

### Statutes Metadata (`statutes_metadata.csv`)

5,474 statute-level metadata records.

| Field | Type | Description |
|-------|------|-------------|
| `statute_id` | string | Statute unique identifier |
| `law_name` | string | Statute name |
| `law_type` | string | Statute type |
| `department` | string | Governing department |
| `abbreviation` | string | Abbreviation |
| `revision_type_name` | string | Revision type |
| `effective_date` | string | Effective date (YYYYMMDD) |
| `promulgation_date` | string | Promulgation date (YYYYMMDD) |
| `clause_count` | int | Total number of articles |
| `description` | string | Statute description (typically Article 1 - Purpose) |
| `reference_case_count` | int | Total number of citing cases |
| `law_detail_link` | string | Link to official source |
| `token_count` | int | Token count |

### Benchmark Questions (`benchmark.csv`)

150 multiple-choice questions from the 14th Korean Bar Examination (2025).

| Field | Type | Description |
|-------|------|-------------|
| `category` | string | Legal domain (민사법, 형사법, 공법) |
| `prompt` | string | Question text with answer choices |
| `answer` | int | Correct answer (1-5) |

#### Category Distribution

| Category | Count | Description |
|----------|-------|-------------|
| 민사법 (Civil Law) | 70 | Civil Act, Civil Procedure, Commercial Act |
| 형사법 (Criminal Law) | 40 | Criminal Act, Criminal Procedure |
| 공법 (Public Law) | 40 | Constitutional Law, Administrative Law |

## Usage

### Loading the Dataset

```python
from datasets import load_dataset

# Load all data
dataset = load_dataset("ducut91/legal_mcp")

# Load specific files
cases = load_dataset("ducut91/legal_mcp", data_files="court_cases.csv")
statutes = load_dataset("ducut91/legal_mcp", data_files="statutes.csv")
benchmark = load_dataset("ducut91/legal_mcp", data_files="benchmark.csv")
```

### Example: Benchmark Evaluation

```python
import pandas as pd

benchmark = pd.read_csv("benchmark.csv")

for idx, row in benchmark.iterrows():
    question = row["prompt"]
    correct_answer = row["answer"]
    category = row["category"]

    # Your model inference here
    predicted = model.predict(question)

    is_correct = (predicted == correct_answer)
```

## Dataset Creation

### Source Data

- **Court Cases**: Collected from the Supreme Court of Korea Legal Information System
- **Statutes**: Collected from the Korea Law Information Center (National Law Information Center)
- **Benchmark Questions**: 14th Korean Bar Examination (January 2025)

### Data Processing

1. Court cases and statutes were collected via official APIs
2. Text was cleaned and normalized
3. Embeddings were generated using the Upstage embedding model (4,096 dimensions)
4. Data was indexed in Elasticsearch for hybrid retrieval (BM25 + semantic search)


## License

This dataset is released under **CC BY-NC 4.0** (Creative Commons Attribution-NonCommercial 4.0 International).

- **Court Cases**: Public domain (Korean government public data)
- **Statutes**: Public domain (Korean government public data)
- **Benchmark Questions**: Used for academic research purposes

## Contact

- Eul Young Lim - ey_lim@o.cnu.ac.kr
- Jihun Park - jihun.park@cnu.ac.kr

Chungnam National University, Daejeon, South Korea