---
license: cc-by-4.0
task_categories:
- text-generation
- question-answering
- table-to-text
language:
- id
tags:
- legal
- indonesia
- knowledge-graph
- rag
- production-ready
- ontology
- regulation
---

# ID_REG_Embed_2510

This dataset is a production-grade collection of Indonesian regulations, meticulously extracted and processed to support advanced Retrieval-Augmented Generation (RAG) and legal AI workflows. It leverages a hybrid search approach by providing both high-dimensional semantic embeddings and dense keyword vectors.

## Dataset Description

The dataset contains approximately 50,000 processed regulation entries. The data was extracted from original PDF sources into structured Markdown format using LLM-based extraction to ensure high fidelity for tables, hierarchies, and legal formatting.

### Key Features

* **Real Regulation Data:** Sourced from authentic Indonesian regulatory documents.
* **Semantic Embeddings:** Includes 1024-dimension embeddings optimized for deep semantic retrieval.
* **Keyword Vectors:** Includes 20,000-dimension TF-IDF vectors to support precise keyword matching.
* **Hybrid Search Ready:** Designed specifically for systems combining semantic search and traditional BM25/TF-IDF keyword search for maximum accuracy.
* **Structured Format:** Data is cleaned and provided in a format suitable for immediate ingestion into vector databases or knowledge graphs.

## Development & Methodology

This project was executed under a strict "high-efficiency, limited-budget" framework, demonstrating a cost-effective pipeline for professional legal data engineering:

* **Extraction:** Utilized a cloud-to-cloud pipeline with remote access to convert PDF regulations into Markdown. The LLM extraction process was optimized to fit a ~50 USD budget for the initial 50K documents.
* **Vector Generation:** Embeddings and TF-IDF matrices were generated by leveraging a combination of free-tier hybrid instances and paid cloud GPU/CPU compute (approx. 10 USD total cost).
* **Weaknesses:** Due to budget constraints, the current version is limited to the first 50,000 regulations. Future iterations may expand this scope as resources allow.

## Technical Specifications

| Feature | Specification |
| :--- | :--- |
| **Language** | Indonesian (ID) |
| **Embedding Dimensions** | 1024 |
| **TF-IDF Dimensions** | 20,000 |
| **Format** | Parquet / JSONL (Structured) |
| **Total Rows** | ~50,000 |

## Use Cases

1.  **Legal RAG Systems:** Building chatbots or research tools that require grounding in Indonesian law.
2.  **Ontology Building:** Extracting entities and relationships for legal knowledge graphs.
3.  **Semantic Search:** Improving document retrieval beyond simple keyword matching.
4.  **Legal Analysis:** Text mining and trend analysis within the Indonesian regulatory landscape.

## License

This dataset is licensed under **Creative Commons Attribution 4.0 International (CC BY 4.0)**. You are free to share and adapt the material for any purpose, even commercially, as long as appropriate credit is given.

---