LLM Data Explorer

Explore Overture Maps data through natural language using Large Language Models. Download a comprehensive, AI-ready context file that enables intelligent querying of our geospatial datasets.

Generate LLM Context File

Get instant access to a comprehensive document containing statistics, schema definitions, and pre-written prompts for all Overture themes.

6 Data Themes
7B+ Features
22 KB File Size
~10K Tokens

📦 What's Included

  • Schema Definitions - Detailed descriptions of all 14 grouping columns
  • Theme Statistics - Complete breakdowns for all 6 themes (Addresses, Buildings, Places, Divisions, Transportation, Base)
  • Data Distributions - Top categorical values with counts and percentages
  • Release Comparisons - Changes from previous releases
  • Pre-written Prompts - 16 example queries to get started immediately
  • Source Attribution - Data source distributions and documentation links

How to Use

  1. Click "Generate & Download" to download the LLM context file
  2. Open the downloaded README_generation_output.txt file
  3. Copy the entire contents of the file
  4. Paste into your preferred LLM (ChatGPT, Claude, Gemini, etc.)
  5. Start asking questions about Overture Maps data!

Example Queries

Category Example Question
Geographic "Which countries have the highest concentration of Places data?"
Data Quality "What proportion of places have high confidence scores (≥0.8)?"
Categories "What are the top 10 most common building types globally?"
Comparisons "How much data changed in this release vs the previous?"
Statistics "What percentage of buildings are residential vs commercial?"

Technical Details

Release Version 2025-09-24.0
File Format Plain text (.txt)
File Size ~22 KB
Token Count ~10,000 tokens (fits in all modern LLM context windows)
Generation Method Automated Python script analyzing metrics CSV files
Update Frequency Monthly (aligned with Overture releases)