metadata
license: apache-2.0
🇮🇩 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.
📄 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
⚙️ Processing Pipeline
Data Flow:
- Pull PDFs from the ID_REG repository
- Parse and extract articles using automated PDF text extraction methods
- 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
🧠 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
⚠️ 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.
🙏 Acknowledgments
- Hosted on Hugging Face — a wonderful platform for open data sharing
- Processing powered by Google Colab — scalable cloud resources that made fast parallel parsing possible