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README.md

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 license: apache-2.0
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-# 🇮🇩 Indonesian Regulation Parsed Dataset
+# 🇮🇩 Indonesian Regulation PDFs
 
-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.
+A high-volume, web-scraped collection of **250,000+ Indonesian legal documents in PDF**, aggregated from \~350,000 public URLs. This dataset enables **legal NLP, document analysis, and regulation-aware AI applications** in Bahasa Indonesia.
 
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-## 📄 Dataset Overview
+## ⚡ Key Highlights
 
-* **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
+* **Format**: Archived `.zip` files (each \~5,000 PDFs)
+* **Total Docs**: \~250K successfully downloaded
+* **Scraped From**: Government regulation portal
+* **Cloud Pipeline**: Scraped using **6 Google Colab nodes**, pushed directly to Hugging Face
+* **Duration**: \~200 hours distributed scraping in total
+* **Failures**: Some links unreachable or invalid
 
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-## ⚙️ Processing Pipeline
+## 🧠 Ideal For
 
-* **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
+* Legal document retrieval & classification
+* Training LLMs on regulatory content
+* Building regulation-aware assistants
+* Multilingual or cross-domain NLP in Bahasa Indonesia
 
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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.
+This dataset is intended **solely for research and development**. It contains **publicly accessible legal documents** collected via ethical scraping practices.
+No warranties are made regarding the accuracy, completeness, or legal validity of the content.
 
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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
+* Dataset hosted on **[Hugging Face](https://huggingface.co/)** — thanks for providing an amazing platform for sharing open datasets.
+* Data scraping powered by **[Google Colab](https://colab.research.google.com/)** — enabling scalable cloud computing to speed up data collection.
 
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