RC_Walls_Dataset_V2 / README.md
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metadata
language:
  - de
  - en
tags:
  - engineering
  - computer-vision
  - ocr
  - cad
  - civil-engineering
  - structural-engineering
  - dataset
  - rc walls
  - reinforced concrete
  - structural engineering
  - engineering drawings
  - wall reinforcement
  - construction details
  - bim dataset
  - ai training data
  - ocr dataset
  - cad drawings
  - technical plan
  - 1200 dpi png

PN Engineering Datasets DATA DICTIONARY – Professional Specification

This document defines the structure and attributes of all datasets released under PN Engineering Datasets.


  1. Dataset Metadata

dataset_name: RC_Walls_Dataset_V2 dataset_version: V2 element_type: Reinforced concrete columns pdf_count: 25 png_count: 25


  1. File Structure

PDF files: • Flattened • Anonymous • Metadata removed • OCR-ready

PNG files: • 1200 DPI resolution • Clean and uniform background • High contrast for Vision models

Documentation files: • DATA_DICTIONARY • DATASET_INFO_TEMPLATE.json • DATASET_STRUCTURE_BLUEPRINT • INDEX.csv • LICENSE.txt • README


  1. Drawing Contents

Each drawing may include: • Reinforcement layouts
• Longitudinal bars
• Stirrups/ties
• Sections in 1–3 views
• Dimensions (millimeters)
• Structural symbols
• Work stages
• Concrete classes
• Notes and detailing conventions


  1. Data Preparation Process

• Anonymization (project & company data removed)
• Noise reduction
• PDF flattening
• Cleanup of backgrounds
• Export to high-resolution PNG


  1. Machine Learning Use-Cases

• OCR model training
• Vision model detection of bars, symbols, dimensions
• Generating embeddings for engineering LLMs
• CAD-to-AI pipelines
• BIM automation


  1. Limitations

Not for construction use. For training & research only.


  1. SUPPORT

If you have questions, need additional formats, or want a custom dataset (beams, slabs, foundations, walls, steel details, construction photos, BIM sets), please contact:

PN Engineering Datasets Email: [email protected]

Gumroad: https://pnengineering.gumroad.com/

PN Engineering Datasets – 2025