Datasets:
metadata
license: apache-2.0
language:
- id
tags:
- legal
- indonesia
- regulations
- knowledge-graph
- rag
task_categories:
- text-retrieval
- question-answering
size_categories:
- 100K<n<1M
🏛️ Indonesian Legal RAG Dataset with Knowledge Graph Enhancement
📖 What is this dataset?
This dataset contains Indonesian legal documents enhanced with Knowledge Graph features for building better RAG (Retrieval-Augmented Generation) systems. It includes regulations, laws, and legal documents from Indonesia with smart scoring and relationship mapping.
🎯 Perfect for: Legal AI, Indonesian NLP, RAG systems, legal research, and chatbots
✨ Key Features
- 📚 50,000+ Indonesian legal documents
- 🧠 Knowledge Graph with legal entity relationships
- ⚖️ Authority scores based on Indonesian legal hierarchy
- ⏰ Temporal scores for document freshness
- 🔗 Cross-reference analysis between documents
- 💎 Legal concept clustering (sanctions, rights, procedures, etc.)
- 🎯 Ready-to-use embeddings preserved from source
- 🚀 Optimized for RAG retrieval systems
📊 What's Enhanced?
Original Fields (Preserved)
- Document text and metadata
- Embeddings and TF-IDF vectors
- Regulation details and dates
🆕 New Knowledge Graph Fields
kg_entities- Extracted legal entities and referenceskg_concepts- Legal concepts with relationshipsauthority_score- Regulatory importance (0-1)temporal_score- Time-based relevance (0-1)legal_richness- Legal terminology density (0-1)cross_ref_strength- Citation connectivity (0-1)kg_connectivity- Graph relationship richness (0-1)
📋 Data Schema
| Field | Type | Description | Example |
|---|---|---|---|
🆔 global_id |
string | Unique document ID | "legal_doc_001" |
📜 regulation_type |
string | Type of regulation | "UU", "PP", "PERPRES" |
🏛️ enacting_body |
string | Government entity | "Kementerian Hukum" |
🔢 regulation_number |
string | Official number | "No. 8 Tahun 1999" |
📅 year |
string | Year enacted | "1999" |
📝 about |
string | Document topic | "Perlindungan Konsumen" |
📄 content |
string | Full document text | "Pasal 1..." |
🎯 embedding |
list | Dense vectors | [0.1, 0.2, ...] |
🏷️ kg_entities |
JSON string | Legal entities | See example above |
🧠 kg_concepts |
JSON string | Concept relationships | See example above |
⚖️ authority_score |
float | Legal importance (0-1) | 0.85 |
⏰ temporal_score |
float | Document freshness (0-1) | 0.72 |
📚 legal_richness |
float | Content quality (0-1) | 0.68 |
🏗️ How It Was Built
1. 🧠 Knowledge Graph Construction
- Legal Hierarchy: Indonesian regulatory levels (UUD → UU → PP → PERPRES...)
- Entity Extraction: Regex patterns for laws, articles, government entities
- Concept Clustering: Groups related legal terms (sanctions, rights, procedures)
- Relationship Mapping: Connects legal concepts through semantic similarity
2. 📊 Scoring Algorithms
- Authority Score: Based on Indonesian legal hierarchy (Constitution = highest)
- Temporal Score: Recent documents get higher scores
- Legal Richness: Density of legal terminology
- Cross-Reference: How often document is cited by others
- KG Connectivity: Richness of concept relationships
3. 💾 Memory-Efficient Processing
- Streaming data processing to handle large datasets
- Progressive saving to avoid memory issues
- Batch processing with cleanup
📈 Dataset Stats
- 📚 Documents: 50,000+
- 🏷️ Entities per doc: 12.4 average
- 🧠 Concepts per doc: 8.7 average
- ⚖️ Authority score: 0.72 ± 0.18
- ⏰ Temporal score: 0.68 ± 0.22
- 🎯 Processing success: 98.7%
⚠️ Important Notes
✅ What This Dataset Is Good For:
- 🤖 Building Indonesian legal RAG systems
- 🔍 Legal document search and retrieval
- 📊 Legal analytics and research
- 🎯 Training legal AI models
- 📚 Understanding Indonesian legal structure
❌ What This Dataset Is NOT:
- ⚖️ Not legal advice - for research only!
- 🎯 Not 100% accurate - always verify with official sources
- 🌍 Not for other legal systems - specific to Indonesia
- ⏰ Not always current - laws change over time
🚀 Happy Legal AI Building! 🏛️✨
Made with ❤️ for the Indonesian NLP and Legal AI community