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license: apache-2.0
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# 🇮🇩 Indonesian Regulation Parsed Dataset

This dataset contains the **parsed content of over 250,000 Indonesian regulations**, extracted directly from PDFs at the article level — **without chunking** — resulting in **3.5+ million rows** representing individual articles and clauses.

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## 📄 Dataset Overview

* **Source**: Parsed from the original PDF collection of Indonesian regulations (\~250K documents)
* **Parsed Units**: Articles, clauses, or sections as atomic units (no chunking applied)
* **Size**: Over **3.5 million rows** of parsed text data
* **Token Count**: Approximately **2 billion tokens** in total

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## ⚙️ Processing Pipeline

* **Data Flow**:

  1. Pull PDFs from the **[ID\_REG repository](https://huggingface.co/datasets/Azzindani/ID_REG)**
  2. Parse and extract articles using automated PDF text extraction methods
  3. Push cleaned, parsed text to this Hugging Face repository

* **Infrastructure**:

  * Utilized **6 simultaneous Google Colab instances** for parallel processing
  * Cloud-to-cloud architecture enables direct transfer without local storage bottlenecks
  * Total processing time: \~30 hours

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## 🧠 Use Cases

* Fine-grained legal text analysis and search
* Article-level classification, summarization, or information retrieval
* Training large language models on legal text with natural article boundaries
* Developing Indonesian regulation compliance tools

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## ⚠️ Disclaimer

This dataset is provided **exclusively for research and development** purposes. It contains parsed content derived from publicly available legal PDFs, and no guarantees are made regarding completeness or legal accuracy.

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## 🙏 Acknowledgments

* Hosted on **[Hugging Face](https://huggingface.co/)** — a wonderful platform for open data sharing
* Processing powered by **[Google Colab](https://colab.research.google.com/)** — scalable cloud resources that made fast parallel parsing possible

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