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README.md
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license: apache-2.0
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license: apache-2.0
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---
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# 🧾 Indonesian Legal QA Dataset
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This repository contains a **question-answer (QA) dataset** generated from parsed Indonesian regulations, focusing on **legal quoting and comprehension**. Designed to facilitate legal-aware LLMs, the dataset provides direct QA mappings to individual articles for contextual understanding and reference.
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---
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## 📌 Dataset Highlights
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* **Source**: Generated from the [ID\_REG\_Parsed](https://huggingface.co/datasets/Azzindani/ID_REG_Parsed) repository
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* **Format**: QA pairs based on individual articles (no chunking)
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* **Scale**: Augmented by applying 10 QA templates across suitable regulation entries
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* **Filtering**: Programmatic filtering removes redundant or overly broad article explanations
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* **Target Use**: Train/test LLMs for **regulation comprehension**, **legal quoting**, and **document-level QA**
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---
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## ⚙️ Pipeline Overview
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* **Environment**: Executed in a single Jupyter Notebook on **Kaggle Cloud**
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* **Data Flow**:
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1. **Pull** parsed articles from `ID_REG_Parsed`
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2. Filter and refine results for clarity and legal context
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3. Apply **template-driven QA generation** (10 variations)
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4. **Push** QA dataset directly to this repository
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* **Performance**:
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* Completed in \~20 minutes using Kaggle GPU resources
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* Cloud-to-cloud transfer without local storage dependency
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---
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## 🧠 Use Cases
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* Fine-tuning LLMs for **legal question answering**
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* Benchmarks for **article referencing and quoting**
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* Few-shot prompting for legal search assistants
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* Legal text evaluation with grounded answers
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---
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## ⚠️ Disclaimer
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This dataset is intended for **research and development** only. QA pairs are generated synthetically from publicly available legal text and may not reflect official interpretations.
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---
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## 🙏 Acknowledgments
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* **[Hugging Face](https://huggingface.co/)** for hosting open datasets
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* **[Kaggle](https://www.kaggle.com/)** for compute and cloud-to-cloud capabilities
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---
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